27 machine-learning-"https:"-"https:"-"https:"-"https:" "UCL;" Postdoctoral positions at Duke University
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affiliations. Be You. Be Bold. Choose Duke. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst
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Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. Be Bold. Choose Duke. Postdoctoral Associate, Diagnostic Imaging & Machine Learning Be You. At Duke, we celebrate
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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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imaging and patient care. You will join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to
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program focused on development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the
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development 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
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engineering, machine learning, and translational biomedical science. Develop modular software tools, simulation frameworks, and machine learning pipelines to support biomarker discovery and validation
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machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong scientific communication skills and the ability to work productively with experimental and computational
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Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program
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required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity with causal inference methods or machine learning