4 atmospheric-modeling PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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Energy Districts through citizen-centered socio-technical models for upscaling of the heat transition – seeks to tackle this challenge by involving key stakeholders (citizen groups, municipalities, housing
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sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models that can accurately predict component health and
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a given discrete-event model that is safe with respect to certain requirements. Yet, the application of the approach is limited by the fact that tools for synthesis cannot always deal with the state
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transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task