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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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use the data to inform and amend the recruitment strategy as required. The postholder will also conduct interviews with participants after the prosthesis is fitted to understand engagement and
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. Your future tasks: Participation in the administration of PhD call advertisements and selection/admission procedures Ensuring effective information exchange between the Steering Committee, the non
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. Experience evaluating empirical research, including extracting data from research articles and assessing methodological rigour or study quality (e.g., using structured checklists). A strong commitment to open
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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised
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Researcher to explore the cellular and genomic determinants of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab
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analysing data. One of the key aims of the project is to improve understanding of how introducing new professional roles into primary care can improve patient care and outcomes. The successful applicant will
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Sciences. The UCL Institute of Health Informatics (IHI) was established in August 2014 within the Faculty of Population Health Sciences. Our mission is to conduct high-quality, data-intensive research
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About The Role This is a maternity cover position until 31st March 2027 working full-time. This is an exciting opportunity to support our information security programme. We are looking for someone