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by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can live together with their real-world counterparts. This project aims to identify better
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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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experimental findings and to identify the optimum FLA parameters for a given material with minimum iterations. The promising materials will be integrated into thin-film battery devices. Your profile MSc in
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by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can live together with their real-world counterparts. This project aims to better identify
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of multi-energy consumer flexibility to estimate its contribution on system sizing, demand reduction and security of supply. Challenges encompass - among others -, multi-energy system design and integration