185 machine-learning-modeling-"Linnaeus-University" Postdoctoral positions in Germany
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 11 days ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
structure formed in model phospholipid membranes. Beyond this, the project aims to expand such investigations to bilayer systems and also investigate the influence of lipid-protein and protein-protein
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 11 days ago
generation and its dependence on the environmental conditions, notably sea ice, and comparing it to semi-analytical estimates Applying this internal tide generation as forcing the internal wave model IDEMIX
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 10 days ago
of novel glaciological observations, first-principle theoretical work, and ice-sheet-wide numerical simulations, PHAST will generate new mathematical models and process-level understanding of ice
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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its
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Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke and Dr. Todd Snider. The project seeks to investigate cognitively plausible models
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change #utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning cases from various regional contexts in Europe #develop a resilience performance framework for
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, informatics, computational sciences); at least two years working experience in the computational analysis of imaging, omics, or clinical data; strong proficiency with machine learning and statistics; strong