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Field
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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chemical information, enabling deeper understanding of fibres used in next‑generation battery and photovoltaic applications. You will work closely with academic collaborators and industry partners, and
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research objectives and processes; obtaining ethical approval; and conducting research involving primary data collection and analysis (predominantly qualitative, plus quantitative surveys). The project is
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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an intensive clinical problem. Our research aims to develop, validate and clinically test a series of state-of-the-art computational tools, which combine patient imaging data and electrical measurements, along
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. It is situated in the Big Data Institute on the University’s Old Road Campus, giving it ready access to major medical research institutes such as the Clinical Trials Service Unit, the Oxford Centre
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are the principal intellectual home of scholarly efforts that explore in-depth the dynamic and interconnected histories, religions, and philosophies of the world. You can find further information on the key criteria
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field