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Field
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
maximum of 2 years of support. This fellowship is part of a robust training program, encompassing epidemiology, biostatistics and environmental sciences and affords the fellow the opportunity to pursue
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of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in public health, health economics, biostatistics, or a related quantitative discipline. Those
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of Epidemiology and Biostatistics, with an initial one-year appointment and potential for renewal. Start date is January 1, 2026 End date is December 31, 2026 How to Apply Applications must include: 1) a cover
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
, the candidate can play leadership roles in consortia efforts including PRIMED, IGVF, and TOPMed. Minimum Education and Experience Requirements Ph.D. in Biostatistics, Statistics, Quantitative Genetics
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MS Windows, Microsoft Office. Basic knowledge on biostatistics. Expertise in bioinformatics analysis is preferred. Attention to detail and ability to follow instructions. Does this position have
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. Applicable natural science fields include but are not limited to: epidemiology, disease ecology, environmental health, biostatistics, vaccination. Applicants are required to hold a Ph.D. or expect to receive a
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needed. Required Qualifications Ph.D degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred Qualifications Doctor degree in biomedical
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Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a