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in data analysis, manuscript preparation and presentation at conferences. Experience with qualitative methodology is essential. Experience in Realist synthesis is strongly desirable, as
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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in developing, enhancing and evaluating the impact of the University activities that support the Teaching Excellence Framework (TEF). It will also be an essential component, working in partnership with
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under supervision from the Chief Investigator (Dr Claire Wilson). The role will be responsible for contributing to all aspects of the research, including data collection, analysis and publication of study
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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-quality, timely research outputs and project management deliverables; Helping to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in
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attending meetings, handling data collection and analysis, and proactive contributions to the design and organization of the project, whilst contributing to academic research papers and presentations. As part
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to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in organisational psychology theory and methods. This role will form part of an existing
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for decisions in diabetes (REDDIE) project, as well as projects with focus on the analysis of CGM and physical activity data. There are also opportunities to contribute to a diverse range of ongoing