117 data "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at Duke University
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, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing
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. Example references for previous work include: https://www.nature.com/articles/s41586-023-06786-y https://www.nature.com/articles/s41467-022-33497-1 https://doi.org/10.1016/j.actamat.2024.119667 https
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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should have the ability to and be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse
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infection influences B cell differentiation in situ as part of a recently awarded U54 grant focused on EBV infection in tonsillar tissue explant. For more information about the Luftig lab visit https
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Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists to utilize EBV and HIV-1 infection data together with multiscale ABM
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: Engineering / Biomedical Appl Deadline: none (posted 2025/07/03) Position Description: Apply Position Description A Postdoctoral Associate position is available in Dr. Vo-Dinh's lab at Duke University
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to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy