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computer science domains. These projects engage across CPFC’s senior men’s, senior women’s, and men’s academy teams, and you will play a central role in supporting the development of this collaborative
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The Vacancy The Advanced Nanoscale Engineering Group is seeking a highly motivated and innovative scientist to develop and execute new scientific and technical concepts and ideas and acquire
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The Vacancy The Advanced Nanoscale Engineering Group is seeking a highly motivated and innovative scientist to develop and execute new scientific and technical concepts and ideas and acquire
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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. Previous experience in computational materials science and a track record of peer-reviewed publications are essential. A background in the modelling of photovoltaic materials would be highly beneficial
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Application Deadline 8 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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at the University of Oxford as a Postdoctoral Researcher. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple
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College of Chemistry and Molecular Engineering, Peking University | Exeter, England | United Kingdom | 3 days ago
) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group, part of the Oxford Robotics Institute and the Department of Engineering Science, University
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real