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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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materials/ Latent thermal energy storage is an advantage. Hands-on experience with experimental setups and measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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Job Description If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department of Civil and Mechanical Engineering, Technical University
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with