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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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for supporting the effective governance of AI. You will lead the Technical AI Governance programme and develop research questions within AI safety, interpretability, and technical governance. You will also
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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software and statistical tools. You will participate in the daily operation and maintenance of MS and liquid-handling equipment, monitor project progress and sample tracking, and contribute to method
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ability to manage and analyse mixed-methods (qualitative and quantitative) data. You should be highly motivated and be able to work independently and to meet strict deadlines. The post is full-time
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of research: survey design, rapid and literature reviews, mixed methods data analysis, and content and text analyses of policies and programmes. This role includes research assistant work such as the day-to-day
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and numerical modelling, as well as the development and construction of a new mm facility, The Africa Millimetre Telescope, in Namibia. The successful applicant will be based in Oxford and work