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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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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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10 Oct 2025 Job Information Organisation/Company Empa Research Field Chemistry » Other Environmental science » Water science Physics » Chemical physics Researcher Profile First Stage Researcher (R1
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printing methods. The project is in collaboration with the University Bern. Your tasks Explore commercial and synthesis piezoelectric ceramic powde Explore sintering additives for the cold sintering process
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. Empa is a research institution of the ETH Domain. In the Laboratory of Advanced Fibers, we are a multidisciplinary team of researchers working on different topics with particular focus on surface
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or more of the following topics is required: Synthesis of ceramic powder, basics in ceramic sintering processes, cold sintering process or piezoelectric characterization. The experimental nature of the work
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12 Sep 2025 Job Information Organisation/Company Empa Research Field Engineering » Mechanical engineering Physics » Other Researcher Profile First Stage Researcher (R1) Country Switzerland
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world