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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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) Contribution to scientific publications, project reports, and international conferences Supervision and mentoring of PhD students and Master`s students Writing and support of third-party funding proposals Active
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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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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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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 26 days ago
for candidates with a background in high-redshift galaxy observations. Additional experience in the theoretical modelling of high-redshift galaxies and/or supermassive black holes is welcome. The successful
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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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a few hundred samples or less) of the tabular datasets under consideration. This challenge is supposed to be targeted through the use of tabular foundation models. The following specific tasks
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, spatial transcriptomics and multiplex immunohistochemistry – ideally with you on board! RESPONSIBILITIES: Working with single cell based technologies and in vitro models Independent planning, execution
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Models (LLMs) to create the methodological foundation for next-generation AI systems that clinicians can truly understand and trust. All components will be released as open-source software and reusable
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. Depending on your profile, you can set your own focus (e.g. on scalable training, data/feature pipelines, or model development) working closely with Helmholtz Munich, MDC Berlin, and NVIDIA. You will: Set up