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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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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
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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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Salvador, Brazil. The post-holder will also contribute to the laboratory analysis, data cleaning and management, and data analysis and write-up a study to assess environmental exposures to enteric pathogen
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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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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
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eradication goals. Epidemiologic analyses will be carried out to provide assessment of key metrics with the potential to lead data collection in relevant countries. The post-holder will be supervised by Dr
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the programme. You will also support the development and evaluation of a new Ubuntu Master Trainer programme. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week