59 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at ETH Zürich in Switzerland
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culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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11 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Established Researcher (R3) Country
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public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and
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transformation. You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching
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tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line
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experience with CAD/FEM software Experience in one or more of the following fields is a plus: simulation frameworks (e.g. SOFA, NVIDIA IsaacLab), ROS1/2, machine learning, computer vision Excellent
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professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by
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a minimum employment level of 50%) and flexible working schedule including partial home-office options. Attractive employee benefits, including: Public transport subsidies and mobility support Car
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not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a
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carbohydrates, namely the core-1-derived O-glycans, shape the lymphatic endothelial cell glycocalyx and its recognition by myeloid immune cells. Job description The successful candidate will: Learn to work with