164 proof-checking-postdoc-computer-science-logic Postdoctoral research jobs at University of Oxford
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, autobiographical thinking and its impact on young people’s mental health (focusing on ages 13-24), with a focus on anxiety, trauma, and neurodiversity. A satisfactory enhanced Disclosure and Barring Service check
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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future plans fit with the advertised position), CV and the details of two referees as part of your online application. Further details and selection criteria for this position are outlined in the job
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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(or have recently submitted) in a relevant subject (climate, meteorology, physical geography, earth and environmental sciences, physics and astronomy, applied mathematics, statistics, computer science
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measuring a molecule’s size and shape in the solution phase (Science 2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as
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Modernising Medical Microbiology (MMM) unit at the University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational