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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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View All Vacancies Department of Psychology Location Egham Salary £41,374 to £48,639 per annum - including London Allowance Post Type Full Time Hours per Week 35 Weeks per Year 52 Closing Date 23.59
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or equivalent. Completion of Foundation Year Training at Post Graduate Year 3+ level is essential. Essential experience of working as a doctor within the NHS Willingness to work with small animal models. About
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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Environmental Health Group as a member of a multidisciplinary project team researching environmental exposure to enteric pathogens in study sites in Brazil and Mozambique. The post-holder will work closely with
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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of Ghana School of Public Health (UGSPH). The post will be managed by Dr Chido Dziva Chikwari and Dr Rachel Scott, the MSc SRHPP co-Programme Directors. Applicants must have a postgraduate degree, ideally a
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relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning techniques, and
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network of GP practices across the UK. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience developing complex statistical models for real data
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records