130 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich in Switzerland
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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collaboration with internationally leading groups in cell, organoid and computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the research area of converter topologies and modulation strategies for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such...
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Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich’s online application system can be considered. Please prepare the following documents: Motivation letter (max. 2 pages) Curriculum Vitae (CV) Academic transcripts and...
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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computational mechanics to work on a project focused on the mechanics of colloidal systems. The PhD candidate will conduct research in a collaborative project with partners from the ETH Department of Materials