69 structures-"https:" "https:" "https:" "https:" "https:" "University of Lille" positions at ETH Zurich
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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. Joël Mesot. The closing date for applications is 22 February 2026. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://ethz.ch/en/the-eth-zurich/working
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10%-30%, Zurich, fixed-term The Chair of Structural Mechanics and Monitoring (SMM) at BAUG, ETH Zürich conducts research at the intersection of structural dynamics, sensing technologies, and
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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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This is a fixed-term position running from September through December each year. The role is structured in two phases: an intensive teaching phase (September–October) with regular weekly sessions
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to overcome the limitations of today’s materials processing technologies. One particular area of interest is the design and fabrication of active structures through hybrid production methods. We're looking
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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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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and production enabled through digital manufacturing techniques. To our infrastructure belongs the Robotic Fabrication Laboratory (RFL), a unique digital construction environment, which allows for world
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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop