226 information-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" 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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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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our ETH job portal. Applications via email or postal services will not be considered. Further information about the Institute can be found on our website . Please contact Dr. David Kostenwein kostenwein
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passion for interdisciplinary science to join our team. Project background This position is part of the project “Forest Management and Drinking Water Security under Climate Change” supported by the Swiss
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We are excited to announce a PhD position at the Chair of Strategic Management and Innovation (SMI), ETH Zurich. The position is part of an SNSF-funded research project that examines how advanced AI
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for stable isotope measurements. ECAF is being established as a robust, user-focused platform with standardized workflows, strong safety culture, and high-quality training to support chemical analyses critical
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portal. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group
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you will have the opportunity to contribute to teaching activities within the group. The position is funded for 4 years, at 100% employment. The project will be supervised by Dr. Céline Labouesse
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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