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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a PhD position in Computational Interaction, focusing on sensor-based input detection for Augmented and
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devices from motors and actuators to sensors, memories, and emerging paradigms for computation. Despite their technological importance, many fundamental aspects of their behavior remain elusive, especially
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microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
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10%-30%, Zurich, fixed-term ETH Zurich I Space boosts space activities to establish ETH Zurich as the leading university in space research, education and entrepreneurship within Europe and beyond. Space is a major economic growth area, and strengthening the Swiss space ecosystem has been defined...
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal