34 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Duke University
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awarded a NIH U01 grant to develop new vaccine strategies that can induce antibodies in early-life capable of preventingHIV-1infection in pediatric populations. This computational immunobiology postdoctoral
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and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. PhD in one of these fields: Computer Science, Data Science
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Postdoctoral Associate, Computational Behavioral Analysis & Digital Autism Research Be You. At Duke, we celebrate individuality, innovation, and the unique perspectives that each member of our
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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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Date: Nov. 1, 2026 Application Review Begins: Immediately Location: Durham, North Carolina Work Arrangement: On-site Salary: $65,000 Research Program Description
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for postdoctoral fellows. We are seeking highly motivated candidates to join our research program in regeneration genomics. Our laboratory develops and applies cutting-edge genomics and proteomics technologies
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career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. The appointee works
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(Microbiology & Immunology, University of Michigan) Minimum Requirements Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE
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evaluation. Automate routine data management and quality assurance processes. Utilize version control and best practices for code management and documentation. Optimize computational efficiency across research