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Research Infrastructure? No Offer Description We are looking for a researcher to work on the finite element modelling of the interaction between textile materials (yarns and fabrics) and textile
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fundamental research on Event-based Model Predictive Control; Monitor the work plan of her/his individual research project and make sure that milestones are achieved and deliverables are finalized in a timely
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, followed by post-plasma catalysis into C2H4; (2) fully coupled modelling (i.e., plasma fluid dynamics and plasma + catalyst surface chemistry) for plasma-based CH4 conversion with post-plasma catalysis
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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extrapolating loads along the substructure, for any type of turbine, given specific geometric, inflow and sea-state information. Furthermore, such a machine learning surrogate can speed-up both design and
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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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improve the efficiency, maneuverability, and noise performance of drones and other multirotor aircraft, but their deployment requires more advanced modeling and control methods. The PhD will focus
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indoor zones with each other and with the outdoors. This system dynamically adjusts airflow based on room conditions, user preferences, and environmental factors—offering a flexible and energy-efficient
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partially filled containers – is a major challenge in aerospace, transport, and energy systems, where it can compromise stability and safety. The PhD will focus on developing low-order models of sloshing
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-hydrated alkali-silicate melts that enable efficient zeolite formation under mild conditions. Molecular modeling and experimental characterization show that the type and concentration of the alkali cation