187 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Oxford
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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Capital.com, one of the world's leading trading platforms with millions of users, gaining unprecedented access to proprietary data to conduct frontier research. The project encompasses multiple research
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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, utilising big data, developing digital health interventions and working internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and diagnostics
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literature reviews, writing up the results for publication in peer-reviewed journals, and gathering, analysing and presenting data from a variety of sources. The ideal candidate must hold a first degree
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(typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School of Government is seeking a Research
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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see the 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. The post is full time for a fixed term
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be