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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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collaborative research project. The post-holder will join a team with expertise in statistics, cancer epidemiology and health services research and will report to the PI, Professor Richard Grieve, and Co-Is
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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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Disease Epidemiology at the LSHTM. This is a collaboration with the research group at the Department of Pharmacology and Pharmacy, HKU. The appointee will create dummy datasets for collaborators developing
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Global Mental Health joining a team working at the interface between epidemiology, intervention development and testing, and intervention science in low resource settings. The post will be based in
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have a post-graduate degree in epidemiology, environmental science or a related discipline, preferably a doctoral degree. Experience in conducting quantitative research is essential and experience
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workflows for open science, and online dashboards. The post-holder will have a postgraduate degree, ideally a doctoral degree, in demography, statistics, epidemiology or a relevant topic and proven experience
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degree. They will have experience performing complex biostatistical analyses, risk prediction, and an aptitude for methodological research. Experience with epidemiological analysis or large-scale health