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- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
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include: - Extension to radio and optical diagnostics to test different interaction scenarios - Extension to low mass binary interactions at optical wavelengths - Development of empirically motivated models
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to such inhomogeneous fields. Mathematical modelling combining physical and biological aspects offers a tool to tackle this problem. In the project, a predictive model should be enhanced and validated for cellular and
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, Foundation Models & Medical AI Location Munich, Germany For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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precision Standard Model predictions for the LHC, perturbative QCD, top-quark and Higgs-boson physics. The successful applicant will be hosted by the Institute for Theoretical Particle Physics and Cosmology
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and