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We’d love to get to know you! Please record a maximum two-minute video clip introducing yourself and one project you have realized. We're not looking for perfect video production skills - just use your smartphone, be yourself, and don't worry about editing the clip. We want to meet the real...
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, and innovation-driven work environment. Benefits according to ETH Zurich’s employee benefits program. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our
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Center’s outreach and sales activities for its fellowship and membership program including the joint industry programs within the Swiss National AI Institute (SNAI), in close collaboration with the EPFL AI
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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high computational cost presents a challenge for real-time process control. This project aims to overcome this limitation by integrating real-world casting data, process parameters, and finite element
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interdisciplinary research projects in collaboration with a team of legal, economics, and computer science scholars. Workplace Workplace We offer We are an interdisciplinary research group at the intersection of law
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is set to begin on July 1st, 2025, with flexibility regarding the start date. Profile We are looking for candidates with the following qualifications: A master’s degree preferably in Computer
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group