253 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 hours ago
or procedures. Essential qualifications PhD (or near completion) in Mathematics or a closely related field. Strong expertise in algebraic topology and data analysis, aligned with the research interests of MPI-CBG
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, vibrant, and collaborative research environment. In a multidisciplinary effort, the Sander lab combines single-cell genomics, human stem cell models, and bioengineering approaches to investigate
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aspects of modern ML systems. Current research directions include the ERC Consolidator Grant CollectiveMinds, which explores how multiple smaller models can collaborate, adapt, and forget outdated knowledge
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 days ago
trigger neuronal stress and degeneration during aging. By integrating data across in vitro and in vivo models, we aim to uncover molecular mechanisms that can lead to novel avenues for interventions
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the protective and harmful effects of the environment, genes, and lifestyle on human health and disease using population-based epidemiology approaches. Knowledge of these interactions leads to novel targeted
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, NeRFs, Diffusion Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly
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University of Bonn, Hausdorff Center for Mathematics Position ID: HCM-HCMPD26 [#27036, HCMPD25] Position Title: Position Type: Postdoctoral Position Location: Bonn, Nordrhein-Westfalen 53115
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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in the institute Analysis and summarizing experimental results Presentation of experimental discoveries in scientific journals and international conferences Working in collaboration with PhD students
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific