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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated
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individual will plan and execute 2-3 active projects per year. These projects are typically collaborative studies between the McIntyre Lab and other Duke faculty, or faculty at other academic institutions
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partnerships with local Duke EM partners. •Strong quantitative skills in the areas of biostatistics, bioinformatics, and/or epidemiology. •Strong programming skills (R or Python preferred). •Knowledge
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This