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Master's degree in Earth Sciences, Geography, Physics, Environmental Sciences, Meteorology, or a related field. Passion for atmospheric remote sensing, chemical transport modelling, and data science. Solid
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profile University Master's degree in process engineering, chemical engineering, mechanical engineering or materials science with some (CFD) experience. Good technical knowledge and/or high interest in
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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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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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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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part of this program, IOB offers PhD and MD-PhD fellowships to outstanding candidates from diverse fields such as Biology, Medicine, Physics, Computer Sciences and Engineering who wish to pursue
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3
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Ecole Polytechnique Federale de Lausanne, Theoretical Particle Physics Laboratory Position ID: EPFL-HET-PHD [#29866] Position Title: Position Location: Lausanne, Vaud 1024 Ecublens, Switzerland [map
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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
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exposure in a Swiss context. The proposed research will directly support the mission of the Swiss Federal Nuclear Safety Inspectorate (ENSI) to effectively monitor the safety reporting process, contributing