323 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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maternity cover. The Master of Advanced Studies ETH in Management, Technology, and Economics is a long-established continuing education programme at ETH Zurich, with a strong history of management education
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and Climate Science at ETH Zurich and the WSL-Institute for Snow and Avalanche Research SLF and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science Foundation (SNSF
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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quantitatively evaluating computational methods An interest in building real-time sensing and interactive systems, including experimentation with physical sensors A strong background in one or more of the
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physics, quantum engineering, electrical engineering, or closely related discipline You should have a strong motivation to build a quantum computer from scratch Excellent spoken and written English
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, deliberately interdisciplinary network spanning planetary physics, geochemistry, chemistry and biology. The position takes two years, but is extendable by a third year subject to NCCR Genesis procedures. Project
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Position Description Experimental Physicist (EP-DI-2026-29-LD) You will be part of the Experimental Physics (EP) Department, which carries out basic research. This Department aims at providing a
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. The project will be supervised by Prof. Colette Heald. Profile Applicants should hold an MSc degree in atmospheric science, earth science, environmental science, chemistry, physics, or a related discipline
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across physics, biology, chemistry and the earth sciences. NCCR Genesis does not aim to provide answers in all fields, but to drive innovative research and achieve decisive progress. Details on NCCR
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated