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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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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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development, validation, and implementation of artificial intelligence models using multimodal imaging and clinical datasets. What You'll Do: Data Acquisition & Management Organize, curate, and maintain large
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deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
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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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federally funded studies while developing an independent program of scholarship aligned with the HEEAT Lab mission. Working closely with community partners, health systems, policymakers, and interdisciplinary
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. The postdoc will also play key roles in developing AI-use measurement techniques and experience sampling measures. This is an ambitious, fast-moving research program, and the position is well suited to a
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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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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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collaborative modeling of marine mammal species distributions, with a focus on developing management-ready results and accompanying manuscripts suitable for immediate application to ongoing protected species