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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 7 days ago
epidemiology, medical statistics or a related discipline. Be proficient at using epidemiological and statistical techniques with a solid understanding of research study design. Have excellent oral and written
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Are you passionate about improving maternal and neonatal health? Join the NIHR Policy Research Unit in Maternal and Neonatal Health and Care (PRU-MNHC) at the National Perinatal Epidemiology Unit
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to native malaria vectors across a range of ecological zones spanning rural, peri-urban, and urban epidemiological settings in Djibouti, Ethiopia, Kenya, and Nigeria, with the aim of pinpointing factors
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: Functional genomics and psychiatric epidemiology Clinical informatics and data harmonisation Co-production and participatory research methods Working within a cutting-edge UK-wide data infrastructure
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ecological zones spanning rural, peri-urban, and urban epidemiological settings in Djibouti, Ethiopia, Kenya, and Nigeria, with the aim of pinpointing factors driving invasion. You will work closely with our
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limited to: International/Sustainable Development Geography/Environmental Studies Social Sciences Public Health/Epidemiology Psychology/Mental health sciences Education Climate Science Sociology
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. This would include those with experience in economics/econometrics seeking to explore epidemiology and policy analysis, those with statistical skills in epidemiology wishing to develop skills in economics and
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exciting opportunity to lead innovative research at the interface of AI and clinical medicine, working within a 40-strong interdisciplinary team spanning AI, statistics, microbiology, epidemiology, public
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the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline with strong quantitative components
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experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology