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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, Ophthalmic Imaging, you'll play a
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research associate. This is a 2-year appointment. The initiative aims to build an integrated, data-driven ecosystem that strengthens care delivery, service coordination, and outcomes for pregnant people
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information for at least three professional references. References will be contacted only at a later stage of the process. Occupational Summary The Marine Geospatial Ecology Lab (MGEL) at Duke University seeks
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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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equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial
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-Medicare, SEER-Medicaid, claims data, cancer registry data, and EHR-derived cohorts to advance cancer equity and improve outcomes for patients with head and neck cancer. Doctoral degree in Epidemiology
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participatory design and student co-creation to develop responsible approaches to multimodal data collection, research design, and dissemination. ● Design and deploy a platform for linking measures of AI use
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will help advance novel imaging technologies, analyze complex medical imaging data, and contribute to research that has the potential to improve patient outcomes worldwide. What You'll Do: Conduct
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on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
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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