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accurate and efficient numerical approaches for scale-bridging to obtain effective models at the macro-scale. An important part of the latter will be the development of reduced order models, reducing
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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. About us You will join the Systems and Control division at the Department of Electrical Engineering , where PhD students, postdocs, and senior researchers collaborate on modelling and numerical
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phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives Multiscale modelling to better
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. The successful doctoral candidate (DC) will develop a microscopic model for heat transport and reactions in redox flow battery electrodes. The DC will use pore-scale direct numerical simulations (based
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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of numerical modelling (e.g. CFD, FEA, FSI, optimization, ML), but we are also involved in experiments and real-life monitoring to support our findings. Besides research, our division is actively involved in
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and numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international
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numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international team of over