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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
, contributing to the functional interpretation of genetic variants and the modelling of immunopathological pathways. The position will be closely integrated with other computational biologists
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gastruloids, organoids, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and
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their acoustic and thermal properties Developing and optimizing numerical models to simulate the performance of thermoacoustic microdevices Designing, fabricating, and experimentally testing prototype
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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designed to evolve toward target structures or functionalities through self-organisation. Our focus lies on modelocked lasers and complex laser–matter interactions as both model systems and experimental
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for behavioural monitoring and stress assessment • Work in an interdisciplinary, collaborative environment with access to advanced infrastructure • Receive structured training in infection biology, animal models
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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require major advances in electrolyte composition to achieve safer and more efficient performance. Such advances will be realized through an exploration of properties or mechanisms not exploited in
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types develop novel approaches for targeted genome manipulation work with advanced cell model systems (including gene editing and iPSC-derived models) plan and conduct independent research projects
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG