144 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich in Switzerland
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of Geoinformation Engineering (Prof. Dr. Martin Raubal), the Department of Transport and Planning at TU Delft, and Mobility Car Sharing. Job description The main objective of this PhD position is the investigation
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has been under the leadership of Prof. Dr. Thomas Zurbuchen since 2023. We are committed to driving technological advancements, shaping future policies, and inspiring the next generation of space
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laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
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actively promote gender equality and foster an open, inclusive work environment. For further information, please contact Dr Valentina Vitali, ETH Zurich (valentina.vitali@usys.ethz.ch ). Start Date: February
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming
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directed to Prof. Dr. Maarten Delbeke by email institut@gta.arch.ethz.ch (no applications please). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by
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management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER); applying best practices in scientific programming (e.g., automated testing and version control
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. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission to Doctoral Program after successful Aptitude Colloquium after 1.5 years, annual
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is Prof. Eleni Chatzi (ETH Zurich, D-BAUG), under close collaboration with Dr. Michele Magno (ETH Zurich, D-ITET, supervisor of A-DC2, A-DC3), and additional mentorship provided during secondments
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about the ETH AI Center can be found on our website . Questions regarding the position should be directed to Dr. Manuel Kaufmann, manuel.kaufmann@ai.ethz.ch (no applications). Pre-selection is carried