156 postdoc-position-in-image-coding-"Multiple" positions at ETH Zurich in Switzerland
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100%, Zurich, fixed-term Applications are invited for a PhD position on Water Disinfection Chemistry in the Environmental Chemistry group at ETH Zurich. The project focuses on the recent discovery
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challenging position. Profile We are looking for a candidate with: A Master’s degree (or nearing completion) in health sciences and technology, neuroscience, psychology, neurophysiology, biomedical engineering
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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-time feedback integration for closed-loop control. This position is embedded within a multidisciplinary research team at ETH Zurich and offers the opportunity to work at the intersection of engineering
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80%-100%, Zurich, fixed-term We are seeking a skilled Software Systems Engineer to join the HIRAX team at ETH Zurich for a fixed-term position. The successful candidate will play a pivotal role in
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counterpart at EPFL, establish strategic partnerships, and manage communication channels to advance CLUE's mission of bridging research insights with real-world educational contexts. The position is initially
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20%-30%, Zurich, fixed-term We are seeking a motivated and detail-oriented student assistant to support the preparation of teaching materials for a graduate-level economics course. This position is
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof