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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments
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. The research will contribute to the area of neural input systems and will be related to brain-computer interaction. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics
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leading universities specialising in 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
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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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seek a dynamic and versatile intern with a mechanical engineering background and a hands-on attitude. The ideal candidate is keen to learn the intricacies of computational industrial robotics in a fast
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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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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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