209 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ" positions at ETH Zurich
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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The PhD student will play a central role in advancing the HARVY optical design. Building on an existing concept study, the project focuses on the evaluation, characterisation, and optimisation of key novel optical components. The primary objective of the PhD is to actively participate in the...
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work experience Deep interest in space, technology, innovation and entrepreneurship Experience with organizing events (e.g. Hackathons, StartupWeekends, etc) Excellent written & spoken English
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by artificial intelligence. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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80%-100%, Zurich, fixed-term The Center for Climate Systems Modeling (C2SM) at ETH Zurich is a joint, interdisciplinary center linking ETH Zurich with partner institutions. It provides a technology
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science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find
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100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
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for diverse applications in the field of bio- and nano-technology. For this position, a project on the synthesis of imaging probes, targeting peptides and therapeutic molecules and covalent functionalization
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compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical