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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
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baseline predictive models, and create reproducible pipelines with documentation and version control. Develop a plan for cross-disciplinary collaborations and a personal research portfolio. Year 2: Improve
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biological samples. By controlling the physical interface between biology and measurement, we aim to generate structured, high-quality datasets that enable rigorous quantitative analysis and predictive
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