453 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral research jobs in United Kingdom
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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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
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core
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and interpreting data, and adapting methodologies where required. The role also involves preparing manuscripts for publication, presenting research at conferences and scientific meetings, and
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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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@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Monday 20th April 2026 can be considered. You will
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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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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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archaeology. For a full role profile, please refer to the job description. Further Information To be considered for this opportunity, please submit your CV and Covering Letter by clicking ‘Apply’ at the top of
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the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by scraping multiple data