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circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications
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inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools, custom-designed furniture, and plenty of plants. We currently have two locations: our main space near
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
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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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members of the Plant Ecology Group contribute to teaching and mentoring Bachelors and Masters students. Please see this website for more information on the doctoral program in the Department
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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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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University Hospital Zurich, biomedical engineers and veterinarians from the University of Zurich, as well as...
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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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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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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