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Field
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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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these questions, the project will involve computational modelling and experimental work, jointly supervised by Martin van Hecke and Yoeri van de Burgt. With this research, we aim to redefine physical computation
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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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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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, 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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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
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 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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Experience implementing mixed-integer, conic or nonlinear programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience with unbalanced distribution system analysis tools (e.g., OpenDSS
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale