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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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teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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species. In the second half of the project, the team will be extended by a postdoc position, who will focus on assessing the effects of cold soils on the hydraulic relations and growth of mature trees
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institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and postdocs. Learn more
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heritage. Muoniverse brings together 30 research teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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required. Our offer We offer this postdoc position at a research institution with excellent infrastructure and broad interdisciplinary surrounding. Position starting from June 2026 or upon agreement. We live
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, Laurenz Assistant Professor of Contemporary Art (first supervisor) and a second professor at the University of Basel (member of Group I, to be defined).
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communication, are required for the project. Our offer Empa offers outstanding infrastructure, career support, networking opportunities, and competitive salaries. Empa also provides excellent infrastructure and