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on the fundamentals of magnetic resonance physics, as well as on the development of dedicated MR methods and data post-processing methods for applications in biophysical, biochemical, and clinical sciences. For further
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Sprachauswahl FAQ de Stellenportal chevron_left Übersicht Partnerinserat chevron_left Übersicht Research Associate – AI-Driven Process Optimization for Smart Manufacturing 100%, Zurich, fixed-term
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) to investigate
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) investigating
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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
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to engage a Project Coordinator ‘Curriculum Revision’. The Bachelor curriculum revision process was initiated by the Department in January 2023 and the Bachelor programme will start in HS 2025. Simultaneously
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Dr. Jeremias Brand's research group at the University of Basel offers a PhD position to study flatworm biodiversity in the African Great Lakes. Adaptive radiations-characterized by rapid speciation and remarkable morphological diversity-are key drivers of biodiversity on our planet. Ecological...
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CERN Position ID: CERN -EXPERIMENTALPHYSICIST1 [#29883, Physicist] Position Title: Position Location: Geneva, Geneve 1211, Switzerland [map ] Subject Area: Physics / Physics Appl Deadline: 2025/05
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research and its efforts to put new knowledge and innovations directly into practice. The Laboratory of Metal Physics and Technology (LMPT), part of the Department of Materials at ETH Zurich, conducts
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80%-100%, Zurich, fixed-term The chair of Artificial Intelligence in Mechanics and Manufacturing at ETH Zurich, led by Prof. Dr. Dirk Mohr, combines physically motivated models with advanced ML