11 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"J" Postdoctoral positions at Duke University
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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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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: Apply Position Description Occupational Summary: The Duke Quantum Center is seeking a Postdoctoral Researcher to develop a research program in integrated sensing and communication for 6G wireless in Dr
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. The appointment is viewed as preparatory for a full time academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior
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● Demonstrated proficiency with statistical programs such as R, SAS, and/or STATA ● Ability to work independently and as part of a research team ● Commitment to academic diversity, equity, and inclusion Submit a
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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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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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, 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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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages