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                the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real 
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                , networking opportunities, and competitive salaries. The position is available from January 2026 or after negotiation with a duration of four years. We live a culture of inclusion and respect. We welcome all 
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