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well as computational analysis (bioinformatics, data handling and AI-supported analysis and engineering). The work is embedded in a network of groups in Xenobiology located in France, Germany, and Belgium. Applications
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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a master’s programme). Your studies are in a social science discipline (e.g., political science, sociology, anthropology) or a spatial science discipline (e.g., urban and spatial planning, urban
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‘Master in Geography’ and ‘Specialized Master in Nature, Society and Politics’. The successful candidate will develop an internationally recognized competitive research programme sustained by external
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technology that has made its way from academic research into modern smartphones. This has been enabled by the quality and precision of sub-wavelength nanostructures that have been fabricated by transferring
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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100%, Basel, fixed-term The Systems Physiology lab, led by Prof. Andreas Moor, at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich, located in Basel, is seeking a highly
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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 are renowned
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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