94 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" uni jobs at ETH Zurich
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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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demo and pilot a success that builds confidence, trust, and long-term customer relationships. Your Contribution Plan, organize, and execute customer demonstrations and pilots, including equipment
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100%, Zurich, fixed-term The doctoral program at the Institute of History and Theory of Architecture (gta), ETH Zurich, offers two fellowship positions to start on 1 October 2026. This program
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experience. Strong programming skills in Python and experience with modern ML stacks (PyTorch, HuggingFace, distributed training). Experience in LLMs, vision–language models, multimodal learning, or clinical
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence
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to preferences and behavior in other policy realms. To answer these questions, the team relies on an original approach combining survey and geocoded data with survey experiments. Job description Program surveys in
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of research activities and programs, education and exchange facilitation as well as communication and representation. Key responsibilities of this exciting position include managing existing research programs
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As a Lab Automation Engineer at SwissCAT+ East, you will be responsible for the maintenance, troubleshooting, programming, and continuous development of a diverse portfolio of automated and high
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent