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Horby, you will lead a specialist grant-funded research programme contributing to the scientific direction and outputs of the wider group. You will lead a programme of research on acute respiratory
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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School of Physics and Astronomy. You will carry out a research programme analysing stellar populations and chemical enrichment processes in galaxies using large galaxy surveys such as SDSS and DESI, as
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly motivated and multiskilled Research Fellow with expertise in
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research environment spanning chemistry, structural biology, and cancer biology, you will manage your own research programme while contributing to the broader strategic direction and day-to-day running of
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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities