160 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at ETH Zurich
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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March 23rd for a Zoom interview, as well as your desired start date. This is to help us facilitate logistics and scheduling for the Zoom interviews, and will not affect candidate evaluation. Contact
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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-funded project on AI-assisted programming interfaces. The research explores new ways to support computational thinking and mathematical reasoning through alternative representations of code, such as prose
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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for a passionate sales professional with a business developer’s mindset to help us do so. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
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100%, Zurich, fixed-term Applications are invited for a Research Assistant position available in the Plant Biochemistry group in the Institute of Molecular Plant Biology (Department of Biology
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help