46 distributed-computing Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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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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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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(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
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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, evidence-based practice, and interdisciplinary collaboration to lead the future of nursing. Our nursing program stands as a leader in healthcare education, earning #1 in the nation for Best Bachelor
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Postdoctoral Associate to be part of an integrated experimental and computational team working to create focused antibiotic prodrugs that treat bacterial infections while sparing the gut microbiome. Building
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. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques, including machine learning and deep learning
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and