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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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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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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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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis
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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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, Professors Ruth Keogh and Kate Walker. Applicants should have a postgraduate degree, ideally a PhD, in medical statistics, epidemiology, health economics or a related field. Relevant experience in applying
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analytic codes to investigate the benefits and harms of medications. Candidates must have a doctoral degree (or be within 3 months of anticipated completion of a PhD) in medical statistics or epidemiology
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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of strong programming skills in R, Python, or other open-source programming language. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term for 3 years
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-11. The supporting statement section should set out how your qualifications, experience