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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DCD-2025-03. The supporting
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impacts in the UK. Candidates should have a postgraduate (ideally post-doctoral) degree in epidemiology, medical statistics, public health or similar, and have knowledge of climate change adaptation and
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develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with
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. The post-holder must have a postgraduate degree, ideally a doctoral degree (for Research Fellow) or a doctoral degree (for Assistant Professor) in epidemiology, medical statistics or health data science
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Medical Research Council Unit The Gambia is one
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. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be
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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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until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2025-09. The supporting statement section should set
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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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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Medical Research Council Unit The Gambia is one