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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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working towards one, or to be able to demonstrate comparable experience in a formal teaching environment. Further particulars are included in the job description. The post is full-time, 35 hours per week
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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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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
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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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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( Richard.White@lshtm.ac.uk ) for an informal discussion prior to submitting a formal application. The post is full-time 35 hours per week, 1.0 FTE and fixed-term until 30 June 2026 (with possibility of extension
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of the research project and develop new areas of research. The post-holder will be expected to undertake a higher degree such as a PhD during the fellowship. About You The applicant must be a medically qualified
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of behaviour change science as applied to obesity-related NCD research and experience in undertaking behavioural analyses and mixed-methods evaluations of obesity-related NCD interventions. Further particulars