165 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at ETH Zurich in Switzerland
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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courses, and development of safety concepts in line with ETH and federal regulations. Serving as Safety Coordinator for the Institute for Environmental Engineering, consulting on lab safety, waste
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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80%-90%, Zurich, fixed-term The Georesources Switzerland Group is part of the Department of Earth and Planetary Sciences at ETH Zurich and conducts applied research in collaboration with the Swiss
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to power outstanding events and digital outreach. Requirements A university degree, ideally with exposure to AI topics or international affairs Professional fluency in English; German is an asset Strong
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and
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is essential. Good knowledge of German is beneficial. Workplace Workplace We offer ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international