333 computer-security "https:" "https:" "https:" "https:" "UCL" positions in Switzerland
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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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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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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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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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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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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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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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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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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