215 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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plants and investigating the impacts on the market/security. For this purpose, we will use data sourced from the ENTSO-E transparency platform and processed at the RRE. This upgrade will be utilized
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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spectrometry or analytical chemistry tools. Statistical/data-science/bioinformatic tools. Workplace Workplace We offer A stimulating research environment in a world-leading institution, with access to state
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to offices in Lugano but also coordination of managing offices in Zurich with recurring trips there is required. As an administrative assistant and member of the Business Administration team, you will
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mechanics, nonlinear dynamics, data analysis, mechatronics, and interest in laboratory-based experimentation and engineering applications. have a solid knowledge of English as the spoken and written language
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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community wildfire resilience in Europe. FiRES is hosted by the Center for Security Studies (CSS) in the Department of Humanities, Social and Political Sciences (D-GESS) at ETH Zürich. Since 2023, the FiRES
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100%, Zurich, fixed-term We are seeking a highly motivated and skilled Postdoctoral Fellow in Microsensor Film Engineering to join our dynamic and interdisciplinary research team. The successful
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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workshops. Contribute to the dissemination of project results through various communication channels. Collaborate with colleagues in computational modelling and experimental domains to improve data analysis