47 data "https:" "https:" "https:" "https:" research jobs at Duke University in United States
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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to utilize EBV and HIV-1 infection data together with multiscale ABM simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE
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June 30, 2023. In addition to a cover letter, please include: a C.V. a writing sample (no more than 25 pages) names and contact information for three references. Application due date is December 15, 2025
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, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty quantification. Work collaboratively with experimentalists and
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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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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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. Responsibilities include: - Development of new and implementation and modification of existing experimental procedures. - Data preparation and contribution to oral presentations, grant applications, and publication
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expands the lab’s protein engineering capabilities. This position is also crucial for mentoring junior members on PACE workflows and supporting data generation for collaborative therapeutic development
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, with a particular emphasis on Urban Resilience to Climate Risks. Current research themes include: • Adaptation of People: Leveraging big data and computational methods to analyze adaptation behaviors and
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Program, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches