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Research (NCCR) dedicated to advancing muon science across particle physics, quantum materials, and applications ranging from energy research to cultural heritage. Muoniverse brings together 30 research
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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