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and consolidation, and test novel methods for interacting with the sleeping brain to boost learning. The postholder will assist with recruitment of participants, data collection, and analysis, as
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, including advanced data analysis and data science methods. In summary, our work seeks to transform health behaviour and outcomes across the age, geographic and socio-economic range to create a healthier
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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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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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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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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