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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, environmental sciences, environmental microbiology, epidemiology, public health, or related fields. Candidate should have education and/or experience corresponding to mathematics through differential equations, a
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of pathogens, mainly human-infecting viruses such as influenza A, at the interface with genomic epidemiology. We collaborate closely with experimental labs to test evolutionary hypotheses. PREFERRED
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epidemiology About the School: At the core of the School of Mathematical and Natural Sciences (SMNS) is the opportunity for you to work side-by-side with faculty, conducting authentic research in STEM
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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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sciences, health behavior, epidemiology) Preferred Qualifications Familiarity with public interventions across the life-course, especially with youth Familiarity with implementation research Ability to be
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and teaching. The National Perinatal Epidemiology Unit (NPEU) is an internationally recognised, multi-disciplinary research unit based within the Nuffield Department of Population Health (NDPH
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the field of dermatology, leveraging epidemiology, data science, and public health to advance health equity. Leandra A. Barnes, MD is an NIH-funded K scholar committed to elucidating the underlying mechanisms
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and teaching. The National Perinatal Epidemiology Unit (NPEU) is an internationally recognised, multi-disciplinary research unit based within the Nuffield Department of Population Health (NDPH
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with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications