120 programming-"the"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"IDAEA-CSIC"-"https:" positions in Switzerland
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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case study landscapes. Thus, analytical and programming skills are essential. You will be developing and using a set of climate change and rewilding scenarios, including the cessation of forest
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding secured for 4
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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the possibility of extension to two years (covering the potential full duration of your study programme). Profile Essential: You are enrolled at a Swiss university (final year of a bachelor’s programme or early in
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development. The Project Hub supports ETH-led missions and technology programs with systems engineering, project management, and PA/QA capabilities. The Innovation Hub accelerates early-stage, high-risk