568 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Oxford in United Kingdom
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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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post, working 37.5 hours per week. The role is predominantly based on-site, but some level of home-working is available, dependent on the events programme. About You You will have strong experience in
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are expected to: (a) conduct an original programme of research in Physics (b) disseminate their research through publication in scholarly journals, participation in international conferences and
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on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical
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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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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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dealing with customers, both face-to-face and by telephone and e-mail as appropriate. Ability to use standard computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and
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the materials for the MAFE and will also be required to deliver lectures and supervision at other programmes within the Economics Department. The teaching and supervision load will be 336 ‘stint points’, which is
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, inequality, gender, ethnicity, migration, politics, social movements, health, crime, social networks, the application of computational methods. We welcome candidates with interests in different regions