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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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models defining the molecular signatures underpinning child development up to adolescence. By combining multidimensional molecular data with integrative computational methods, the professorship's research
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on