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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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recruitment, qualitative data collection and analysis, and supporting knowledge mobilisation activities. You will work closely with schools, community organisations, and stakeholders across the East Midlands
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children, particularly within disadvantaged and ethnically diverse communities. The role involves participant recruitment, qualitative data collection and analysis, and supporting knowledge mobilisation
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component (e.g., a postgraduate dissertation) and have a strong grasp of computational and statistical methods. You will also have excellent communication skills. This is post is part-time (0.50 FTE), fixed
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criteria Experience working with unfamiliar open-source software (assessed at: application/interview). Familiarity with basic experimental evaluation and data analysis (e.g., plotting results, interpreting
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with designing a sleep education package for use in stroke rehabilitation, recruitment of participants, data collection, and analysis, as well as contributing to the general running of the lab group
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, data collection, and analysis, as well as contributing to the general running of the lab group. The role will involve visiting participants in rehabilitation hospitals and in their homes and liaising
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individually or jointly in accordance with the LEACAN project deliverables. 2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical
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accordance with the study and assisting with analysis and interpretation of results. The role: As Research Assistant, you will have the opportunity to use your experience of qualitative research and Psychology