153 modelling-and-simulation-of-combustion-postdoc Postdoctoral research jobs in Germany
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of existence of solutions and their approximation, the associated large deviation principle and the simulation of the occurrence of rare events, as well as model simplifications and associated a posteriori error
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subject “Postdoc Application – [First and last name].” In your email, please include a short motivation letter less than 1 page, your CV including list of publications, a reference letter from your PhD
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of Europe’s most vibrant hub for artificial intelligence research. A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new
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considered. The ideal candidate will have a background in immunology, tissue biology or cellular metabolism. Experience in working with animal models, cell isolations from tissues (lung, intestine), human
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! PROJECT: The project entitled ‘Dynamic cues guiding postnatal germline development in marmoset‘ focuses on single-cell transcriptome analysis of germ cell development in a non-human primate model. In
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and family-friendly working time model and the possibility of mobile working (up to 50% of working time) VBL Ost company pension scheme for public sector employees, as well as a collectively agreed
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network