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data and insight are used to inform strategic decision-making across the institution. You will work with a rich and complex range of higher education data — including student, research, staff, financial
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and user support for the Collections Management System (EMu) used by the Museum of Natural History and the History of Science Museum. You will maintain, develop and implement data standards, policies
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and funding, particularly incorporating policy objectives within processes, while considering the level of institutional burden and monitoring information required. This will include: contribute
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, conditions and benefits , including development opportunities, health and wellbeing support and a work-life balance. For more information, please do get in touch by email with Dr Connor Darling, , kindly quote
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Environmental Sciences (SoGEES). You will have a proven ability to contribute to all stages of data collection and analysis, from experimental design to the preparation of explanatory graphics. You should also be
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agricultural research You will be responsible for the day-to-day coordination of project activities, working closely with University academics and farm staff to ensure high quality data collection and adherence
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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exemplars, support compliance (HR, academic misconduct, data protection), and drive training and upskilling initiatives across all business areas (e.g. Customer Services, HR, IT, Finance, and Facilities