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trial design and conduct, and scientific writing. Qualification: PhD in nutrition, epidemiology, biostatistics or related field. Strong quantitative and analytical skills, including experience with
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. This will involve analysing population structure in existing genotyping/sequencing data as well as demographic data from within existing epidemiological cohorts in France. The ideal candidate should hold a
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for gorillas, people and other wildlife and provides leadership for regional response to emerging health threats as they arise. This post-doctoral position will (1) lead independent research on the epidemiology
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for research. The potential fellow must have recently earned a PhD in kinesiology, public health, injury epidemiology, occupational health and safety, or other related fields and is interested in cross
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to epidemiological cohort studies that contain behavioral, clinical and genetic information. The successful applicants should contribute to one or more of the research themes of the project. The project is associated
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. Minimum Qualifications A terminal degree (e.g., PhD, DrPH, or MD) with a focus on biomedical science, epidemiology, information science, informatics, computer science, or pediatric research. Strong
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wildlife and provides leadership for regional response to emerging health threats as they arise. This post-doctoral position will (1) lead independent research on the epidemiology of dengue and Zika virus co
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Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in epidemiology and/or
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. The position involves research in modeling and simulation of within-host virus dynamics, theoretical immunology and multiscale immune-epidemiological models of infectious diseases and teaching two classes per
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-driven colorectal cancer risk. The successful candidate will lead epidemiological studies within this multi-institutional consortium project, integrating lipidomics/metabolomics, dietary intake data, and