59 post-doc-image-engineering-computer-vision Postdoctoral positions at Duke University
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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
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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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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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: Advanced sequencing platforms Flow cytometry and cell-sorting facilities High-throughput imaging technologies High-performance computing infrastructure Translational and clinical research collaborations
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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to expand their scientific expertise while contributing to meaningful discoveries in vision science. What You’ll Bring Required Qualifications PhD or MD/PhD in a relevant scientific discipline. Strong