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or basic science environment. Knowledge and working experience of advanced statistical techniques in medical research are essential while experience of the analysis of germline genetic data would be
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, particularly survey methods, is an advantage. The University of York offers flexible working patterns and a number of family friendly initiatives. As a department we are proud to foster a supportive culture that
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information specialists, data scientists, horizon-scanning and evidence synthesis researchers based across the Department of Health Sciences at the University of York and the NIHR Innovation Observatory
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or basic science environment. Knowledge and working experience of advanced statistical techniques in medical research are essential while experience of the analysis of germline genetic data would be
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and the University of York. It is an international centre of excellence which exists to provide infrastructure to support translational research across: musculoskeletal disease (MSKD); cardiometabolic
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Sustainability Academy at York and the Stockholm Environmental Institute (York), providing many opportunities for interdisciplinary working and networking across the university and beyond. The department is proud
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academic outputs. The post will be based at the University of York, and there will be opportunities to travel internationally for purposes of trial monitoring & coordination, and dissemination
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the University of York. Duties and responsibilities You will participate in research conducting analyses that examine the value of disease elimination in the context of Neglected Tropical Diseases (NTDs
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existing cohorts at the University of York. This research will also explore clinical trajectories and outcomes from counselling and mental health services through the analysis of practice-based datasets
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Centre for Health Economics, University of York Health Economics Research Centre, University of Oxford PhD students are exposed to advanced and innovative methodologies relevant to health economics and HTA