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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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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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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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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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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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ensuring key milestones at met. This involves quantitative and qualitative analysis of existing survey data, writing scientific manuscripts, and contributing to stakeholder engagement and dissemination
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data analysis of on-going and/or new research projects. The person appointed will have time to continue developing their own research and will be expected to publish in leading international journals
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analysis of an online questionnaire, laboratory-based experiments, field-based data collection at 100-mile challenge events, writing a 40,000–50,000-word thesis, publications, and conference presentations
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and practitioners, data collection and analysis, and contributing to broad stakeholder engagement and dissemination activities. The postholder will develop core research skills in integrated health and