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applications, review processes, evaluation details, results, or reasons for acceptance or rejection. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
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of Mechanical and Process Engineering and the Department of Health Sciences and Technology, offering a unique interdisciplinary blend of cutting-edge research in engineering, health, and technology. Project
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10%-30%, Zurich, fixed-term At the Energy and Process Systems Engineering (EPSE) group, we develop automated experimental setups for measuring vapor–liquid equilibria (VLE), liquid–liquid equilibria
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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for Hamiltonian matrix prediction to treat dynamical matrices. This ML framework will then also allow us to produce the derivatives of both quantities, which correspond to the electron-phonon and anharmonic phonon
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of Competence in Research (NCCR) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and
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structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and