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intellectual community, as well as those for whom the use of the Duke library holdings and Special Collections will be most profitable. Priority deadline: January 15, 2026. Applicants must have earned the PhD
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multiple faculties across disciplines. The successful applicant will possess a PhD or equivalent doctoral degree in engineering, material science, geoscience, environmental science, chemistry, industrial
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September 1, 2026 Position Summary The SCALES (Scholars for Climate and Advanced Leadership in Environment and Sustainability) Postdoctoral Fellows Program at Duke University seeks early-career scholars
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Position Description POSITION SUMMARY: The SCALES (Scholars for Climate and Advanced Leadership in Environment and Sustainability) Postdoctoral Fellows Program at Duke University seeks early-career scholars
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applicants who combine strong quantitative skills with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a
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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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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Minimum Requirements: PhD in Neurobiology, Cell Biology
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connections with other scholars and joining campus intellectual life, as well as mentorship from GSF faculty. Applicants should have PhD in hand by July 1, 2026, and should have earned their PhD no earlier than