214 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" uni jobs in Switzerland
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capabilities, with only a very small fraction dedicated to AI safety. The research of the new assistant professor tenure track (APTT) will focus on the mathematics of responsible and trustworthy AI
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are FAIR-compliant, secure, efficient, and operated in a sustainable manner over the long term. Furthermore, you will actively participate in the design, prototyping, and further development of RDM
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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, safety, and societal acceptance of CO₂ injection into Switzerland's subsurface. Time-lapse seismic-reflection imaging is the primary tool to image the CO₂ plume and its migration through the subsurface
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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service providers operating in high-demand sectors including offshore wind, oil and gas, but also maritime security, demining (UXO, MCM) and search & rescue. As an ETH Zürich Spin-Off, we are a fast-growing
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reserves sharing and spatial distribution on the electricity market prices and grid security. Understand the interdependencies between the energy transitions and the future electricity markets. This thesis
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Switzerland for more than 12 months in the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi