54 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Delft University of Technology (TU Delft)
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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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studies, develop sophisticated simulation models, and co-create practical tools with CCs through interactive workshops. Your research will transform theoretical governance principles into actionable
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dispersion. Yet conventional Computational Fluid Dynamics (CFD) workflows rely on watertight geometric models and volumetric meshes that are slow, complex, and costly to produce. Within the POINT-TWINS project
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computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks. On the other hand, typical design cycles in industry still
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muscles, bones, joints, and associated tissues, are the leading cause of disability worldwide. Musculoskeletal models hold great potential for prevention and development of new treatments, but current
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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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. Leveraging large language and multimodal models, the research will focus on developing AI technologies to generate informative, concise, and personalized descriptions that enhance accessibility across various
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the system dynamics as dictated by demand-side management. Input from consortium industry partners on component, operational and other costs will be used to validate the techno-economic models and quantify
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and a Dutch Research Council (NWO) grant. As a PhD student your tasks will include but not limit to: Mastering concepts from nonlinear dynamics, data-driven model discovery, and computational design
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pathways. This research project will develop the process flow model for selected technology configurations, including electrified units, hydrogen-based processes (instead of carbon-based for reduction