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                an appropriate professional or specialist capacity in similar reward roles*. Significant relevant experience leading large-scale change projects related to people and reward systems. Broad and deep working 
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                exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront 
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                summarizing data Desirable criteria Experience of working in a research and academic environment. Experience of presenting results to large audiences. Some experience in preparing surveys and analysing 
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                and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a 
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                The pathway combines observational, descriptive, and trials-based methods with large population-scale datasets to provide evidence on societies most pressing health challenges. Research informs 
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                quantitative methods as well as real-world evaluation. You will join the large and diverse Sheffield Centre for Health and Related Research to work on physical activity related research projects under 
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                summarizing data Desirable criteria 1. Experience of working in a research and academic environment. 2. Experience of presenting results to large audiences. 3. Some experience in preparing surveys and 
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                High skills in writing reports, preparing surveys and summarizing data Desirable criteria Experience of working in a research and academic environment. Experience of presenting results to large audiences 
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                Evidence Unit, you’ll work with large-scale electronic health record data to: Draft study protocols and conduct feasibility assessments Clean and analyse data using statistical methods Contribute 
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                -person in the Department of Psychology at the University of Bath. About the role This Research Assistant post will focus on utilising large scale, electronic healthcare linked longitudinal data