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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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(degree courses, program content and students). The RA will produce relevant reports summarising the analysis and the surveys. This is a part time post (28 hours per week), and you will be offered an a
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to the environmental challenges of climate change in ways that are locally relevant and practical. The primary purpose of the role is to assist with the collection and analysis of qualitative data. The project is
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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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-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 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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-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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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
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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