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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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guest researchers of the research facility of HFML-FELIX (maximum of 10% of your time). This project aims to bridge fundamental physics of two-dimensional semiconductors with next-generation
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are looking for a dynamic, serious, and motivated researcher with a Master degree in Geoecology, Geochemistry, Environmental/Organic Chemistry, Geoscience, Physical Geography, Landscape Ecology, Environmental
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diseases of the eye. You will work at the intersection of mathematics, physics, AI, and clinical practice through careful design and production of optical metasurfaces, which can help to correct macular
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candidate is encouraged to discuss and collaborate with (experimental) researchers at QuTech, as well as the Delft office of the UK company Riverlane. Requirements Master degree in physics or quantum
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PhD: Characterization of subsurface heterogeneity in backward erosion (piping) Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application
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states. Your profile The position is suited for highly motivated students interested in experimental condensed matter physics, nanoscience, and quantum materials. Candidates should hold a Master’s degree
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) and long-term properties (including creep and fatigue behaviour) will be analysed. Furthermore, the project will develop physics-assisted artificial intelligence (AI) models that integrate experimental
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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Description of the offer : PhD Position: Order-from-Disorder in Frustrated Quantum Magnets Physics Department, ETH Zurich The Neutron Scattering and Magnetism Group, Physics Department, ETH Zurich