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Field
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musculoskeletal geometries. Info . Novel reinforcement learning (RL) strategies to teach NMS models to execute a broad repertoire of movemets in presence of external disturbances. Info . Simulation-to-real-world
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal
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Infrastructure? No Offer Description Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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models, prototypes, and virtual simulations in close collaboration with the DFL team; d) Preparation of communication and dissemination materials, such as presentations, reports, and/or papers related
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household and firm surveys (carried out by another team member) and other spatial and physical climate risk data. The goal of this agent-based modeling is to identify conditions under which risk contagion
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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natural conditions in the laboratory. Marine phytoplankton, which act as the base of the marine food web and contribute to major global biogeochemical cycles, will be used as a model to understand