206 computer-security "https:" "https:" "https:" "https:" "UCL" uni jobs in Switzerland
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Researcher (R1) Country Switzerland Application Deadline 19 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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of Translational Medicine and Precision Engineering will: • head the administration of the Graduate School of Biomedical and Precision Engineering and the corresponding Master program in Precision Engineering, which
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19 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Agricultural sciences » Forest sciences Computer science » Programming Computer science » Other Environmental science
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. Publications in major international peer-reviewed journals. START DATE: October 1st, 2026 or upon agreement Mandatory online registration before February 6th 2026 at: http://www.unige.ch/academ Further enquiries
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cellular biology. The position is available from 1 February 2026. The initial contract will be for one year. For more information on research in the Hondele lab see: https://www.biozentrum.unibas.ch/research
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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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registration required before February 14th 2026 on http://www.unige.ch/academ For further information, contact: With a view to achieving parity, the University encourages female candidates
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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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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're