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long‑term conditions. You will take responsibility for leading the collection, evaluation and interpretation of research data, working both autonomously and collaboratively to achieve project milestones
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self-harm research . Professor Ann John is the Director of the newly awarded National Centre for Suicide Prevention and Self-Harm Research (NCSR) and Co-Director of DATAMIND, the Health Data Research UK
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Research UK - Scottish Centre for Administrative Data Research (SCADR). In this role, the successful candidate will deliver policy-focused research projects using linked administrative datasets. The research
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supporting and enabling the delivery of the University's Education and People Strategies. Specifically, you will line manage the team of nine Faculty-linked Digital Education Specialists, providing leadership
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the successful delivery of this important national study. Your work will focus on participant recruitment, obtaining informed consent, data collection and management, and facilitating referrals to secondary care
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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information of a specialist nature in areas of and not limited to; PCR, QPCR, Cell Culture, Microscopy. This involves explanations of Biological Sciences and interpretation of the concepts involved, to embrace
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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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is likely to be at or near postdoctoral level. This post is linked to the Programme for the Foundations of Law and Constitutional Government at the Faculty of Law, University of Oxford. The Junior
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data