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<p>The newly established Institute for Crop Biology at the Faculty of Mathematics and Natural Sciences of the Heinrich Heine University (HHU) Düsseldorf invites applications for a</p>
<p><strong>Research Associate (Postdoc) in plant</strong><br><strong>genomics/bioinformatics (m/f/d)<br></strong></p>
<p></p>
<p><strong>Main tasks</strong></p>
<ul>
<li>Develop and apply computational tools for the analysis of high-throughput sequencing data</li>
<li>Supervision and teaching of B.Sc. and M.Sc. students</li>
<li>Preparation of scientific publications and contribution to the dissemination of research results</li>
</ul>
<p><br><br></p>
<p><strong>Your Profile</strong></p>
<ul>
<li>Ph.D. in computational biology or bioinformatics (or close to being finished)</li>
<li>Experience in the analysis of next generation sequencing data and in the use of Linux/Unix and programming languages (e.g. Python or R)</li>
<li>Excellent communication skills in English</li>
<li>Ability to work effectively in a team-oriented, interdisciplinary environment</li>
</ul>
<p><br><br></p>
<p><strong>Our Offer</strong></p>
<ul>
<li>Work in an interdisciplinary, international, and collaborative research environment focusing on plant sciences</li>
<li>Close interactions with our partner group at the Max Planck Institute for Plant Breeding Research (MPIPZ), Cologne</li>
<li>Access to state-of-the-art genomics technologies and computational resources</li>
<li>Opportunity to present and publish research results at international conferences and in scientific journals</li>
<li>Employment according to the collective agreement for the public service of the federal states (TV-L), including the usual social benefits</li>
</ul>
<p><br><br></p>
<p><strong>About us</strong></p>
<p>The Institute of Crop Biology, led by Prof. Korbinian Schneeberger, invites applications for a postdoctoral position in plant genomics. The position is initially limited to three years, with the possibility of extension in accordance with the Act on Fixed-Term Contracts in Higher Education (Wissenschaftsvertragsgesetz - WissZeitVG). This is a qualification position intended to support the scientific development of the employee.</p>
<p>The “Genome Plasticity and Computational Genetics” group, headed by Prof. Schneeberger, is internationally recognized for research in plant genomics, with a focus on developing computational and biotechnological methods for genome sequence analysis. Current projects involve genetic experiments and the development of computational approaches for the analysis of multidimensional genome data to study the temporal dynamics of plant genomes.</p>
<p><br>Heinrich Heine University upholds the principle of "Excellence through Diversity". It has signed the "Diversity Charter" and successfully participated in the Stifterverband's audit "Shaping Diversity". It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality to be taken into account, please provide evidence of this with suitable documents.</p>

Land Nordrhein-Westfalen

Research Associate (m/f/d) in plant genomics/bioinformatics (Postdoc)

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term initially for 1 year.<br>An extension to a total of 3 years is planned.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a part-time contract position.<br>The standard weekly hours will be 26,33 Std. hours.<br>The successful candidate has the opportunity to pursue a doctoral degree in this position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>The Chair of Biochemical Engineering (AVT.BioVT) led by Prof. Dr.-Ing. Jørgen Magnus is part of the closely connected network of the Aachen Chemical Engineering (AVT). We are one of the world's leading chairs in the development of new methods and techniques for innovative biotechnological production processes and cooperate at national and international level with universities and research institutions, as well as with renowned companies. Our core competence is focused on two specialist areas: industrial and pharmaceutical biotechnology.</p>
<p>Interdisciplinarity is a fundamental requirement in bioprocess engineering and therefore also an important part of our chair's philosophy. To ensure that our scientific staff is both professionally and personally qualified, we offer a wide range of opportunities. Our employees work in the following fields during their employment:</p>
<p><strong>Research </strong>- The Industrial Biotechnology Group's research is centered on the development and implementation of advanced measurement technology to enhance a variety of cutting-edge biotechnological processes. Through efficient production processes, we aim to advance bioprocess engineering as an engineering science. We aim to contribute to the transition to a circular bioeconomy and the reduction of CO2 emissions. To achieve these goals, we collaborate in application-oriented research projects with international partners from industry and science. We proceed in a cross-disciplinary and cross-sectoral manner and use our measurement technology to significantly accelerate process development in biotechnology.</p>
<p>In the coming years, we want to demonstrate the potential of oxyhydrogen fermentation by testing innovative concepts for gas injection. We are working on different scales in ATEX-certified plants. The basis for this is provided by measuring systems established at the chair, which can be used to evaluate general process parameters.</p>
<p><strong>Professional development </strong>- Through frequent participation in scientific conferences, we present the latest findings from our research and seek to exchange expertise. We also motivate our scientific staff to participate in the educational courses of the RWTH Doctoral Academy.</p>
<p><strong>Teaching </strong>- We offer lectures, practical courses, and seminars on bioprocess development for the faculties of biotechnology, mechanical engineering, environmental engineering and process engineering. In addition, we supervise ambitious students in their project work and theses.</p><h2>Ihr Profil</h2><ul>
<li>Completed University degree (Master’s degree or equivalent) in the field of (bio)process engineering, biotechnology, mechanical engineering, or a related discipline</li>
<li>Strong expertise in biotechnology and/or (bio)process engineering and eagerness to further develop your knowledge in this field</li>
<li>First experience with the cultivation of anaerobic organisms and/or ABE fermentation would be advantageous but is not mandatory.</li>
<li>Interest in interdisciplinary collaboration and have strong teamwork skills</li>
<li>Independent work with determination</li>
<li>Fluency in English is a prerequisite. Fluency in German is desired.</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Working in the team of industrial biotechnology</li>
<li>Independent work on the research topic for the further development of ABE fermentation</li>
<li>Establishment and intensification of ABE fermentation at the chair</li>
<li>Supervision of Bachelor’s and Master’s theses</li>
<li>Publication of scientific papers in renowned journals</li>
<li>Representation of the chair and the research projects at conferences</li>
<li>Supporting the chair management in lectures</li>
<li>Contributions to research proposals</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Assistant/Associate - Doctoral candidate (f/m/d) Industrial Biochemical Engineering

<p>‘Forschungsgesellschaft für Arbeitsphysiologie und Arbeitsschutz e.V. Dortmund’ (legal entity name) is a research institution institutionally funded by the German Federal Ministry of Labor and Social Affairs and the State of North Rhine-Westphalia. It is the sponsor of ’Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund’ (IfADo). IfADo explores the risks and potentials of modern work in interdisciplinary approaches. We combine the disciplines of Ergonomics, Immunology, Toxicology, Psychology and Neurosciences.</p>
<p>&nbsp;The Department of Toxicology has two vacancies for a &nbsp;</p>
<p>&nbsp;<strong>Research assistant (postdoc) (100%) (m/f/d)&nbsp;and&nbsp;Research assistant (postdoc) (65%) (m/f/d)</strong></p>
<p>&nbsp;The positions are initially limited until 30 June 2027.&nbsp;A 12-month assignment in France may be required.</p>
<h2>Your task:</h2>
<p>Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific informative experiments and to aid clinical decision-making. The clinical pictures are accompanied by microarchitectural changes. For this purpose, images of animal and human livers are analysed on a histological scale in all projects. The results are used to construct in silico spatio-temporal multiscale models that correctly represent the liver microarchitecture and simulate selective liver functions. The models can include molecular and tissue scales, signalling and metabolism of each cell or entire tissue, as well as flow and transport.</p>
<p>The projects open up excellent opportunities to develop image processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects are developed in close collaboration with experimental and clinical partners within a team of individuals with diverse core expertise within German and international research networks. The main modelling partner and, possibly, place of work is the SIMBIOTX working group at INRIA (French National Institute in Digital Science and Technology) Saclay in Palaiseau near to Paris.</p>
<p>We are looking for applicants for the following two project activities, whereby the distribution of modelling tasks can also be adapted to interests and skills.</p>
<ol>
<li>Mathematical modelling of the functional consequences of microarchitectural changes in the liver during the development of liver fibrosis and cirrhosis up to hepatocellular carcinoma. The focus is on flow and transport modelling. Possibly computer-assisted generation of liver microarchitectures based on histological data, literature knowledge and information from clinical partners.</li>
<li>Mathematical modelling of the development of liver fibrosis and cirrhosis to hepatocellular carcinoma. The possible underlying processes will be investigated using a spatial-temporal mathematical model. In a second step, the regenerative capacity of the liver in the presence of the above-mentioned diseases will be studied. Based on the findings, possible therapy options and recommendations will be developed. Besides using maths models that show the possible biological and physical mechanisms, artificial intelligence modelling methods and deep learning techniques can also be used in both areas.</li>
</ol>
<h2>Your qualifications:</h2>
<ul>
<li>Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a related field</li>
<li>Excellent English skills are essential</li>
<li>Strong interest in interdisciplinary work and team orientation</li>
<li>Experience with one or more of the following: programming languages (C++, Python), agent-based modeling methods, or continuum mechanics, especially blood flow and transport modeling. Knowledge of AI and OpenGL-based visualization techniques and/or image analysis methods is an advantage.</li>
<li>Communication and teamwork skills, above-average commitment, and the ability to work independently are expected.</li>
<li>Independent and autonomous work, establishing techniques, and presenting work at international conferences</li>
</ul>
<h2>Our Offer:</h2>
<ul>
<li>A full-time position with currently 39,83 h/week and a half-time position with 29,83 h/week</li>
<li>Remuneration is based on the collective agreement for the public sector of the federal states (EG 13 TV-L). Classification is based on the collective agreement and personal requirements</li>
<li>All the benefits of public sector (social) services, e.g., an annual bonus and capital-forming benefits</li>
<li>Flexible working time models to enable a good work-life balance, with the option of mobile working</li>
<li>Opportunity for promotion and support for professional development</li>
<li>A positive working atmosphere in a supportive team</li>
<li>An interesting, responsible, and varied workplace</li>
</ul>
<p>IfADo is committed to diversity. We benefit from the different expertise, perspectives and personalities of our employees and welcome applications from qualified candidates regardless of age, gender or gender identity, ethnic or cultural origin, religion and worldview, sexual orientation and identity, or disability.</p>
<p>Applicants with severe disabilities will be given special consideration if they are equally qualified. We actively support the compatibility of work and family life and attach great importance to an equal and inclusive culture of cooperation.</p>
<p>General information about the IfADo can be found at <a href="http://www.ifado.de" target="_blank">www.ifado.de</a>.</p>
<p><strong>If you have any question</strong>s or would like to make preliminary contact, please contact Dirk Drasdo: <a href="mailto:drasdo@ifado.de" target="_blank">drasdo@ifado.de</a></p>
<h2>Have we aroused your interest?</h2>
<p>Then please send your detailed application documents, including your resume, certificates, a letter of motivation, and two references, including the reference code “FB Toxi 02/25,” until 28th of November 2025, preferably by email to <a href="mailto:bewerbung@ifado.de?subject=FB Toxi 02/25" target="_blank">bewerbung@ifado.de</a>.</p>
<p>Dortmund, 13th of November 2025</p>
<p>(Please send your application documents by email only as PDF files. These will be destroyed in accordance with data protection regulations after the retention period has expired.)</p>

Research assistant (postdoc) (100%) (m/f/d) and Research assistant (postdoc) (65%) (m/f/d)

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term of two years.<br>An extension of at least one year is planned.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The successful candidate has the opportunity to pursue a doctoral degree in this position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>SAF is a chair of RWTH Aachen University, part oft he mechanical faculty. We research and develop methods and tools that systematically combine sustainability assessment, artificial intelligence, and foresight research. The aim is to enable transparent, comparable, and automated assessment of industrial value creation systems by standardizing the Life Cycle Sustainability Assessment (LCSA; holistic/three-dimensional sustainability assessment), thereby promoting data-based sustainability strategies.</p>
<p>The focus is on the pillars of standardization and automation of sustainability assessment and foresight research, which we link in an interdisciplinary manner – among other things, in cooperation with partners from science, certification, and industry. Practical and future-oriented solutions are developed based on use cases from various industries.</p>
<p>Under our guiding principle “<em>SAF - Science for Sustainable Industry Transformation</em>,” we combine research on LCSA, AI-supported data processing, and scenario-based foresight research. The desired outcome are open, freely accessible tools and technical solutions for standardized sustainability assessment and scenario development that combine scientific excellence with practical applicability.</p>
<p>The Circular Economy &amp; Materials research group at PEM is further developing the various components of lithium-ion batteries. All battery components are examined throughout their entire life cycle – from the raw material to recycling – and optimised with regard to KPIs such as cost, performance and sustainability. Future materials and technologies from the post-lithium-ion sector are also the subject of research. The group's second focus is on the processes that follow the first life cycle of a battery, which are summarised under the term ‘Re-X’. These include the use of batteries in ‘Re-Use’, for example as stationary energy storage devices, automated dismantling, ‘Repair’, “Remanufacturing” and recycling. From the implementation of strategic consulting projects to the investigation of specific technical issues in the laboratory, the team is dedicated to almost all topics in the areas of battery components and ‘Re-X’ topics.</p>
<p><strong>What We Offer</strong></p>
<ul>
<li>Work in an interdisciplinary and future-oriented research environment</li>
<li>Application of AI, data analytics, and sustainability assessment in practice-driven projects</li>
<li>Flexible working arrangements – on-site and remote options</li>
</ul><h2>Ihr Profil</h2><ul>
<li>Completed Master’s degree (or equivalent) in engineering or a related field (e.g., mechanical engineering, electrical engineering, environmental engineering)</li>
<li>Experience or strong interest in sustainability assessment methodologies (e.g., Life Cycle Assessment, Life Cycle Sustainability Assessment, techno-economic evaluation)</li>
<li>Experience or interest in AI and programming (preferably with Python and/or Brightway)</li>
<li>Ideally, experience or interest in foresight and futures research methodologies (strategic or technological foresight)</li>
<li>Ideally, prior practical experience in consulting, project acquisition, acquisition</li>
<li>Motivation to explore and develop new research topics independently</li>
<li>Structured and reliable working style, creative and pragmatic thinking, curiosity, and willingness to learn</li>
<li>Fluent in German and English, both written and spoken</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Active contribution to projects with industrial partners, from acquisition and planning to implementation</li>
<li>Research on sustainability assessment (LCSA), foresight research, and Re-X / End-of-Life (EoL) modelling (Re-Use, Repair, Remanufacturing, and Recycling, e.g., of batteries)</li>
<li>Development of prototype tools for sustainability evaluation and forecasting within research and industry projects</li>
<li>Supervision of student theses and participation in teaching activities</li>
<li>Early opportunities for budget and leadership responsibility, with freedom to shape your own research focus</li>
</ul>
<p><strong>We Offer</strong></p>
<ul>
<li>A dynamic and interdisciplinary research team</li>
<li>High degree of creative freedom</li>
<li>30 days of annual leave (full-time) &amp; bridge day arrangements</li>
<li>Flexible working hours (flexitime)</li>
<li>Hybrid work options (partial remote work)</li>
<li>Team events and staff activities</li>
<li>Annual bonus subject to eligibility</li>
<li>Modern IT equipment</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Assistant/Associate (f/m/non-binary) Doctoral Candidate – Consulting in Circular Economy, Materials & Sustainability and Foresight Research

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term of two years.<br>Further employment is sought.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>SAF is a chair of RWTH Aachen University, part oft he mechanical faculty. We research and develop methods and tools that systematically combine sustainability assessment, artificial intelligence, and foresight research. The aim is to enable transparent, comparable, and automated assessment of industrial value creation systems by standardizing the Life Cycle Sustainability Assessment (LCSA; holistic/three-dimensional sustainability assessment), thereby promoting data-based sustainability strategies.</p>
<p>The focus is on the pillars of standardization and automation of sustainability assessment and foresight research, which we link in an interdisciplinary manner – among other things, in cooperation with partners from science, certification, and industry. Practical and future-oriented solutions are developed based on use cases from various industries.</p>
<p>Under our guiding principle “<em>SAF - Science for Sustainable Industry Transformation</em>,” we combine research on LCSA, AI-supported data processing, and scenario-based foresight research. The desired outcome are open, freely accessible tools and technical solutions for standardized sustainability assessment and scenario development that combine scientific excellence with practical applicability.</p>
<p>The Circular Economy &amp; Materials research group at PEM is further developing the various components of lithium-ion batteries. All battery components are examined throughout their entire life cycle – from the raw material to recycling – and optimised with regard to KPIs such as cost, performance and sustainability. Future materials and technologies from the post-lithium-ion sector are also the subject of research. The group's second focus is on the processes that follow the first life cycle of a battery, which are summarised under the term ‘Re-X’. These include the use of batteries in ‘Re-Use’, for example as stationary energy storage devices, automated dismantling, ‘Repair’, “Remanufacturing” and recycling. From the implementation of strategic consulting projects to the investigation of specific technical issues in the laboratory, the team is dedicated to almost all topics in the areas of battery components and ‘Re-X’ topics.&nbsp;</p>
<p><strong>What We Offer</strong></p>
<ul>
<li>Work in an interdisciplinary and future-oriented research environment</li>
<li>Application of AI, data analytics, and sustainability assessment in practice-driven projects</li>
<li>Flexible working arrangements – on-site and remote options</li>
</ul><h2>Ihr Profil</h2><ul>
<li>Completed PhD in engineering or a related field (e.g., mechanical engineering, electrical engineering, environmental engineering)</li>
<li>Experience or strong interest in sustainability assessment methodologies (e.g., Life Cycle Assessment, Life Cycle Sustainability Assessment, techno-economic evaluation)</li>
<li>Experience or interest in AI and programming (preferably with Python and/or Brightway)</li>
<li>Ideally, experience or interest in foresight and futures research methodologies (strategic or technological foresight)</li>
<li>Ideally, prior practical experience in consulting, project acquisition, acquisition</li>
<li>Motivation to explore and develop new research topics independently</li>
<li>Structured and reliable working style, creative and pragmatic thinking, curiosity, and willingness to learn</li>
<li>Fluent in German and English, both written and spoken</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Active contribution to projects with industrial partners, from acquisition and planning to implementation</li>
<li>Research on sustainability assessment (LCSA), foresight research, and Re-X / End-of-Life (EoL) modelling (Re-Use, Repair, Remanufacturing, and Recycling, e.g., of batteries)</li>
<li>Development of prototype tools for sustainability evaluation and forecasting within research and industry projects</li>
<li>Supervision of student theses and participation in teaching activities</li>
<li>Early opportunities for budget and leadership responsibility, with freedom to shape your own research focus</li>
</ul>
<p><strong>We Offer</strong></p>
<ul>
<li>A dynamic and interdisciplinary research team</li>
<li>High degree of creative freedom</li>
<li>30 days of annual leave (full-time) &amp; bridge day arrangements</li>
<li>Flexible working hours (flexitime)</li>
<li>Hybrid work options (partial remote work)</li>
<li>Team events and staff activities</li>
<li>Annual bonus subject to eligibility</li>
<li>Modern IT equipment</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Associate – Postdoc Circular Economy, Materials & Sustainability and Foresight Research (f/m/non-binary)

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term initially to three years.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>At the Chair of Imaging and Computer Vision, we explore and extend the physical, methodological, and computational limits of modern medical imaging technologies and related domains. Our research spans simulation of novel imaging concepts, hardware prototyping, high-speed data processing, and image reconstruction, complemented by machine and deep learning–based methods for image enhancement, quantitative analysis, and diagnostics. Combining physics-driven and data-driven approaches, we develop next-generation imaging solutions using our in-house systems. Our multidisciplinary team of physicists,engineers, and computer scientists collaborates closely with industry partners and RWTH Aachen spin-offs, ensuring that research outcomes lead to practical impact.&nbsp;</p>
<p>As a Postdoctoral Researcher Fellow, you will join a collaborative team our chair, working closely with Fraunhofer MEVIS to advance the next generation of LF-MRI technology. The research combines system-level innovation - novel gradient, RF and B0 concepts, low-noise acquisition with advanced algorithmic approaches, including AI-driven reconstruction, physics-informed modeling, and adaptive signal processing. Together, these developments aim to redefine the performance limits of LF-MRI and establish it as a powerful, accessible, and scalable imaging modality for the future of healthcare.&nbsp;</p>
<p><strong>Why Join Us:</strong></p>
<ul>
<li>An excellent collaborative, interdisciplinary research environment with leading scientists.</li>
<li>Exciting research opportunities in cutting-edge magnetic imaging technologies.&nbsp;</li>
<li>Access to state-of-the-art low-field MRI and commercial MRI systems.&nbsp;</li>
<li>Opportunity to shape next-generation MRI solutions and contribute to high-impact publications.&nbsp;<br><br></li>
</ul>
<h2>Ihr Profil</h2><ul>
<li>Masters`s degree or equivalent and PhD in MRI or a related field with a focus on system innovation.</li>
<li>Solid expertise in B₀/gradient design, RFcoils, data acquisition, and image reconstruction.</li>
<li>Highly independent and self-motivated, with a strong collaborative mindset</li>
<li>Passionate about advancing medical imaging through innovation.</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Develop and optimize hardware components to maximize signal sensitivity.</li>
<li>Investigate multi-channel and resonance-based techniques for improved imaging.</li>
<li>Implement AI-driven signal enhancement strategies.</li>
<li>Collaborate in an interdisciplinary research environment.</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Assistant/Associate (f/m/d) Postdoctoral Research Fellow in Advanced Low-Field MRI

<p><strong>PhD position: Immune cell-tissue interaction (f/m/x)</strong></p>
<p><strong>Uhlirova Lab/Institute for Genetics/CECAD</strong></p>
<p>We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration.</p>
<p>The Uhlirova lab (<a href="http://www.uni-koeln.de/inter-fak/cecad/hlirova/" target="_blank">www.uni-koeln.de/inter-fak/cecad/hlirova/</a>) explores how stress-inducible signaling pathways control gene expression and influence tissue homeostasis and longevity. To tackle these questions, we combine the power of functional genetics in Drosophila and mouse models with cutting-edge molecular and cell biology, multi-omics approaches, advanced microscopy, and bioinformatics.</p>
<p>We are looking for a highly motivated and curious PhD candidate (f/m/x) to join our dynamic team. You will have the opportunity to drive your own project, contribute to collaborative research, and develop skills at the interface of genetics, molecular biology, and systems-level analysis.</p>
<h2>YOUR TASKS</h2>
<ul>
<li>Unravel the factors and networks that control immune cell tissue residency and niche organization using the Drosophila melanogaster model</li>
<li>Map and dissect the microanatomy of immune cell niches. Explain how immune cells adapt and change during development, homeostasis, and disease</li>
<li>Investigate how immune cell microenvironments are established, maintained, and dynamically remodeled</li>
<li>Leverage single-cell technologies and advanced imaging to uncover the cellular and molecular heterogeneity of immune cells and their niches</li>
</ul>
<h2>YOUR PROFILE</h2>
<ul>
<li>Completed Master’s Degree or equivalent in Biology/ Biochemistry/Biophysics or related areas of Life Sciences</li>
<li>Strong background in genetics, molecular and cell biology is essential</li>
<li>Proven ability to carry out an independent scientific project and unwavering commitment to high-quality research</li>
<li>Motivation, curiosity and creativity, and a strong ability to solve problems through critical analytical thinking</li>
<li>Hands-on experience in working with multicellular organisms, preferably Drosophila and/or mouse</li>
<li>Excellent communication skills, fluency in spoken and written English</li>
<li>Strong collaborative and teamwork attitude</li>
</ul>
<p><strong>DESIRABLE:</strong></p>
<ul>
<li>Experience in multi-omics research projects and data analysis</li>
<li>Experience in quantitative image analysis and attention to detail</li>
<li>Strong organizational and thorough documentation skills</li>
</ul>
<h2>WE OFFER</h2>
<ul>
<li>An interactive and supportive research environment</li>
<li>A diverse working environment with equal opportunities</li>
<li>Support in balancing work and family life</li>
<li>Extensive advanced training opportunities</li>
<li>Occupational health management offers</li>
<li>Flexible working time models</li>
<li>Opportunity to work remotely</li>
</ul>
<p>The University of Cologne promotes equal opportunities and diversity. Women will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from all suitable candidates regardless of their gender, nationality, ethnic and social origin, religion, disability, age, sexual orientation and identity.</p>
<p>The position is available from 1 March 2026 on a part-time basis (25,89 hours per week). The position is to be filled for three years until 28 February 2029. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.</p>
<p><strong>Please apply online</strong> at <a href="mailto:https://jobportal.uni-koeln.de" target="_blank">https://jobportal.uni-koeln.de</a> with proof of the required qualifications (without a photo) and the following documents:</p>
<ul>
<li>A cover letter describing your motivation to join our research group and information on your career achievements (1 page max.)</li>
<li>Academic Curriculum Vitae, including your publication list and contact information for three references</li>
<li>Copies of your degree and qualification certificates</li>
</ul>
<p>The reference number is Wiss2510-08. The application deadline is 15 December 2025.</p>
<p><strong>For further inquiries,</strong> please contact Professor M. Uhlirova (<a href="mailto:uhlirova-jobs@uni-koeln.de" target="_blank">uhlirova-jobs@uni-koeln.de</a>) and take a look at our FAQs.</p>

7 Stellenangebote für Developer (m/w/d) in Nordrhein-Westfalen