53 development-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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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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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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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
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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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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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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential
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researchers, you will contribute to groundbreaking studies focused on juvenile dermatomyositis (JDM) and the role of type I interferons in disease development and progression. Your work will help bridge
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. The Quantitative Imaging and Analysis Laboratory in the Department of Radiology at Duke University is seeking a Postdoctoral Associate to join our team. In this role, you will work on the development
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, learning, well-being, social experiences, and decision-making. HARP is developing a longitudinal multimodal research resource to study human-AI interaction and its impacts using student-informed, privacy