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the Milken Institute School of Public Health’s Department of Biostatistics and Bioinformatics, this role will conduct research in phylogenetics and evolutionary biology of barnacles and work together
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health and climate change, using state-of-the-science chemical transport models, epidemiological models and biostatistics. The postdoctoral fellow will have the opportunities to collaborate with scientists
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
or industry. In addition to recent PhD graduates, we welcome candidates from industry looking to make a pivot. Minimum Education and Experience Requirements A PhD in computer science, statistics, biostatistics
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Biostatistics program ranked #9. Pay and Benefits Pay Range: Based on NIH NRSA postdoctoral stipend levels . (depending on education/qualifications/experience) Postdoc No Experience: $61,008 Postdoc 1 year of
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Category: Faculty University Authorized FTE: 100 Unit: SPHL-Epidemiology & Biostatistics Campus/College Information: Founded in 1856, University of Maryland, College Park is the state’s flagship institution
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) cost-effectiveness analysis. Required Qualifications: We seek an individual with solid statistical and computing backgrounds. Successful applicants should have a strong background in biostatistics and
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., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and engagement in self-directed and guided research are required. Ability to meet deadlines
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Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and
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health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and engagement in self-directed and guided research
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This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and engagement in