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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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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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have a Bachelor’s or Master’s degree (any field of study is welcome - computer science is not a must-have) or can demonstrate equivalent knowledge and experience You are passionate about analyzing
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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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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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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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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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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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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software