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endocrinology. Interested in joining the team? ETH Zürich is one of Europe’s foremost technical universities, located in the heart of Switzerland. The PhD candidate will be positioned at the Department
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100%, Zurich, fixed-term The High-Resolution Weather and Climate Modeling Group at the Institute for Atmospheric and Climate Sciences (IAC) is recruiting a PhD student for a Swiss National Science
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) Requirements: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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, the aforementioned systemic changes and regulations demand an in-depth investigation using advanced modeling tools and techniques. The objectives of this PhD research project are to: Assess the impact of the balancing
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. For this research project in partnership with the Federal University of São Carlos (Brazil), we are looking for a: PhD candidate (100%) starting in April 2026 or upon agreement. Growing concerns about the
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towards generalizable principles across content areas and issues of societal relevance. The group is looking for a PhD student to contribute to ongoing research on educational approaches to misinformation
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organisations and their stakeholders. The current PhD position offers an exciting opportunity to work with two centres within the Chair on managerially-relevant applied research: The Mobiliar Lab for Analytics