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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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kinetics, coarse-graining across time and length scales, machine learning from small and multi-fidelity datasets, and autonomous discovery workflows. You will collaborate with experimentalists at ETH Zurich
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