188 virtualization "https:" "https:" "https:" "UCL" positions at ETH Zurich in Switzerland
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exploitation of natural hydrogen as a clean energy source. This research addresses fundamental questions about mechanochemical reactions in natural materials and energy flow in Earth’s deep environments and its
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) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr
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, a list of publications with the three to five most important ones clearly marked, three statements on a) research, b) teaching, c) leadership, the names of three references, a description of the three
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50%-100%, Zurich, fixed-term Are you excited about the ethical and policy challenges emerging from digital health, AI, and cutting-edge biomedicine? Do you enjoy working in an interdisciplinary
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received by 1 November 2025. Note: as an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application
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understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
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persons Further information about Neurotechnology group can be found on our website : Questions regarding the position should be directed at ntjobs@ethz.ch (no applications). Please submit the application
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about the individual running projects, please refer to our website . In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a
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10th of April: Motivation letter (<1 page, German or English) CV (German or English) Listing of grades e.g. from My Studies Further information about our group can be found on our website . Please note
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) for the electric power grid. FMs are advanced AI models developed through self-supervised learning, most often based on transformer architectures, that generalize across various tasks after initial training