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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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research through technology. Workplace Workplace We offer Work in an international, dynamic and collaborative research environment at the forefront of earthquake physics and seismic instrumentation
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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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Postdoctoral position is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. The project aims to develop a
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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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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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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science
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(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming