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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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The research focuses on the retrieval of snow and ice parameters and their dynamics using multimodal Synthetic Aperture Radar (SAR) observations. The aim is to explore two scientific topics within the cryosphere domain. The first topic involves analyzing SAR interferometry to generate time...
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20%-30%, Zurich, fixed-term Our research team at KOF, ETH Zurich is seeking a student assistant to contribute to the project "Computing Resilience Indicators for Pharmaceutical Supply Chains