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will have ample opportunity to draw on Duke’s resources and link to one or more of these signature programs. Minimum Qualifications: Completed PhD in History or related field Background in high-level
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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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contributed to the identification of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: PhD in
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. Veronica Ciocanel (Mathematics, Duke University) • Dr. John Hickey (Biomedical Engineering, Duke University) • Dr. Jessica Conway (Mathematics & Biology, Penn State University) • Dr. Elliott SoRelle
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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. 1. A candidate may also be appointed to a
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. Candidates with non-US degrees may be required to provide proof of degree equivalency. Preferred Qualifications: A PhD or MD/PhD (or equivalent) in biological sciences (cell & developmental biology or a
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of the PhD in biomedical engineering or related field. Essential Skills Essential skills include experience in experimental design and execution, recombinant DNA technology, molecular and cellular biology
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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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and engineers to conduct economic analyses of climate-resilient infrastructure that inform urban planning and public investment decisions. • Adaptation Finance: Examining how insurance markets and
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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