298 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"St" Postdoctoral positions in United Kingdom
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- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
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- Rashid Ganiev
- SOAS University of London;
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- University of Reading
- VIN UNIVERSITY
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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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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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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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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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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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, 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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@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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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
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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