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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours 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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medicine residency, medical school, and graduate school at CU. Our faculty researchers are leading innovations through discoveries in immunology, computational biology, genetics, epidemiology, and outcomes
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Paris Cedex 15, France. Person specification: Experience in working with mathematical and/or statistical models and/or AI. A strong interest in infectious disease epidemiology. Ability to collate and
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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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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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scholars to join our research team. Specializing in infectious disease epidemiology and public health modeling, we study vaccine-preventable infections (e.g., SARS-CoV-2, pertussis) and neglected tropical
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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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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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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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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