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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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). 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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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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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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Research Fellow. The successful candidate will be a medical doctor with experience of providing cancer treatments (radiotherapy or surgery), and will join a new NIHR-funded research project called TACTIC
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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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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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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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, and seeking to identify feasible anti-corruption strategies. The post holder will lead the analysis of household surveys, in Enugu and Kano states of Nigeria, and in Malawi, exploring user experiences
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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