279 data-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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Field
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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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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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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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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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controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation
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commencing 13th April To avoid disappointment please apply early, should we find a suitable candidate we will close the advert. For more information about out benefits and working for the University please
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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