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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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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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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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-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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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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RNA sequencing (scRNA-seq) data analysis. Previous hands-on experience with cell culture techniques. Experience designing and conducting independent scientific research. Strong analytical, problem
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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analyze data related to funded programs; maintain research records; communicate research activities through reports, manuscripts, abstracts, and presentations; attend research group meetings and contribute
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their work at national conferences, mentor junior researchers, and develop the skills and preliminary data needed for an independent research career in any sector. Choose Duke. Scientists with strong