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quality improvement skills along an academic pathway. The programme will train GP Fellows in health data science, research methods, and the clinical effectiveness approach, to develop them into future
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to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
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addressed to jobs@lshtm.ac.uk . A short (500 words) planetary health related research proposal including appropriate methods and outcomes and feasible in a 2-year timeline, are to be submitted alongside your
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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research to understand health services and systems, alongside applied research to support clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative
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this Fellowship. The Fellowship will be for a period up to 6 months (normally between January and June 2026), based in Paris or London, or split between the two cities. As a Fellow, you will develop a programme of
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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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data, like electronic health record data, is advantageous. Knowledge of missing data methods is desirable. Further particulars are included in the job description. The post is full-time, 35 hours per