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clinical, engineering, and modelling innovation (BreathForDx & B-Path; European Research Counsil [ERC]). You conceive and design modelling and health economic analyses to generate estimates of health impact
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immunobiology and T cell engineering. The position is initially limited to 1 year for a maternity leave substitution beginning of June 2026. About the project Our group investigates the principles of gene
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development, aiming at a better understanding of past socio-environmental dynamics and at shedding new light on the ‘roots’ of current challenges and crises under diverse economic, ecological, and social
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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engineering, physics, health economics, or related quantitative field Strong quantitative and programming skills (e.g. R, NetLogo, or similar) Experience in infectious disease modelling and/or model-based
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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across a broad range of experimental approaches. The institute provides a modern scientific environment with close links to clinical research, translational projects, and excellent central technology
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interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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biology, bio-technology, or related fields Strong expertise in pluripotent stem cell culture and differentiation Interest in standardized and automated cell culture systems Solid experience in Python and