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Field
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative opportunities with research groups in the MICRO-PATH consortium, spanning
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | about 2 months ago
numerical and empirical transport-reaction models; publishing results in scientific journals and communicating them to non-experts in an accessible way. Your Profile A university degree (M.Sc. or diploma) in
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, transportation, and energy. Our work generally focuses on behavior modeling, instrumentation, and the study of the durability of the structures or products in question. A significant part of our research focuses
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Infrastructure? No Offer Description Start date/duration 01.11.2025 for 4 years Job profile: Your tasks: Dissertation in the field of theoretical quantum optics, theoretical modelling of open many-body quantum
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Infrastructure? No Offer Description Start date/duration 01.11.2025 for 4 years Job profile: Your tasks: Dissertation in the field of theoretical quantum optics, theoretical modelling of open many-body quantum
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support