297 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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- Max Planck Institute of Colloids and Interfaces
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- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
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), the successful candidate will investigate how a high-fat diet (HFD) affects various organ systems - in particular the liver and heart, but potentially also skeletal muscle and adipose tissue - in a mouse model. In
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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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collaborate efficiently with other members of the institute. You have a PhD in Chemistry, Materials Science, Physics or a closely related discipline and proven experience in scanning transmission electron
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, with access to unique patient-derived models and in vivo platforms A collaborative, resource-rich environment with strong clinical ties and advanced infrastructure at UMCG and Oldenburg Support for
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lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics unit is to advance the understanding of the underlying molecular and cellular mechanisms
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 30 days 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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Georg-August-Universitat Gottingen, Mathematics Institute Position ID: Gottingen-ASSISTANT [#27660] Position Title: Position Type: Postdoctoral Position Location: Goettingen, Lower Saxony 37073
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contribute to research in the areas of International Relations, Peace Research and International Institutions and will be expected to complete a PhD in one of these areas. The teaching load is 3 hours per
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, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to understand how women and men remember about their time in Nazi concentration camps, as well as the way memory
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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