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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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, architectured textiles (hydrophobic/hydrophilic) in different conditions (wet/moist). This will be complemented with tribological, thermal, optical (IR) and mechanical testing techniques. The research is
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project (Decarbonization of Heating and Cooling), we are seeking a motivated and qualified PhD candidate to design integrated district heating and cooling systems. Future thermal networks based on renewable
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