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, including cutting edge quantum physics and chemistry, material science, nanotechnology, biochemistry, cell biology, or medical research. The SNI PhD programme includes multiple social events, trainings in
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science, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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for a motivated and talented candidate with: • A Master's degree (or equivalent) in chemistry, biochemistry, nanoscience, physics, or a related field • Previous knowledge about nanopore experiments
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generate our own data, on the newest spatial and single-cell platforms. Required: ● MSc in computer science, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands
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, flavour physics, effective field theories, theories beyond the standard model and computer algebra. More details on current research activities can be found on our homepage: https://www.physik.uzh.ch/en
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funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number GAP-101219676 Is the Job related to staff position within a Research Infrastructure? No Offer Description Expected
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Researcher (R1) Application Deadline 16 Dec 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A central goal of modern condensed matter physics is to control magnetism at the nanoscale
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, and selective forgetting, and translate these into training-recall-forgetting cycles on physical polymer films and bilayer actuators. Contribute to integrating learning materials into soft robotic
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heat stress and improve thermal safety, comfort, and performance in challenging environments. Your tasks Your task will be Develop, adapt, and validate experimental and computational methods