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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
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Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 20 Feb 2026 - 00:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job
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heating and cooling, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting
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perform quantitative hydrogen analysis using electron spectroscopy. Main task of the PhD student is to establish the scientific basis for high-resolution electron recoil spectroscopy for surface hydrogen
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the application form provided below. It should be duly completed (including recommendation letters) before the deadline specified by the doctoral program of your choice. Selection Students wishing to do their PhD
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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Your position The goal of the project is to understand the cause of multiple sclerosis, focusing on the interactions between autoreactive B cells, the lymphotropic virus EBV, and the cellular anatomy of the central nervous system. Work will involve both patient samples and experiments with live...
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A PhD position is available in Inorganic Chemistry in the research group of Professor Jonathan
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore