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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
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to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from
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that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 4 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets