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. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related discipline awarded before August 1st, 2026. Applicants with experience in mathematical modeling
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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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. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. A candidate may also be
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expected to work collaboratively with other members of our interdisciplinary lab, including computational and other experimental biologists from different disciplinary backgrounds. The successful second
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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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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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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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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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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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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