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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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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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network analysis Experience with omics data analysis Our offer A highly interdisciplinary and supportive environment with a cutting-edge research project Support for further career development A strong
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-of-the-art infrastructure and opportunities for collaboration within the ETH Domain. Professional development, networking and participation in innovative projects are supported. We provide competitive salary
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Innosuisse projects or projects with the Federal Offices, private companies and foundations. You will broaden your national and international network in Advanced Materials Processing and organize local and
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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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and computational resources, and close collaboration with leading academic and industrial partners. Empa supports professional development, networking opportunities, and a healthy work-life balance in a
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and computational resources, and close collaboration with leading academic and industrial partners. Empa supports professional development, networking opportunities, and a healthy work-life balance in a