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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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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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Chemistry » Molecular chemistry Chemistry » Inorganic chemistry Chemistry » Physical chemistry Chemistry » Other Engineering » Materials engineering Physics » Acoustics Physics » Applied physics Physics
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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professional network and build a strong foundation for a future career in academia or industry. Empa actively supports your professional and personal development. The position is initially limited to three years
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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). The project will make use of a unique laboratory which combines state-of-the-art physical vapor deposition with surface analysis and closed-loop autonomous experimentation. The goals of the project