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submissions for continuing review, data use agreements, and protocol amendments. • Support development and testing of computational tools (e.g., algorithms for EMG signal analysis, data visualization
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, neurosurgery, liver & renal, sepsis and more. Our team's main goal is to deliver exemplary care for our patients to ensure optimal outcomes. Teamwork, open communication, and interdisciplinary collaboration is
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an interdisciplinary team and a patient’s care team to optimize clinical outcomes through a seamless model of transitions, access, and care. This role focuses on improving the health status and connection to resources
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international programs in more than 150 countries. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Program Coordinator for the Duke
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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of the multidisciplinary primary health care team in an outpatient setting to ensure optimal patient care services, including but not limited to management of well patient care and follow-up, sick, urgent and newborn care
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, and optimize treatment plans and generate dose calculations with appropriate secondary checks. Delineate clearly discernable normal structures and create planning structures as directed; review OAR
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to understand prescription and clinical objectives; create, evaluate, and optimize treatment plans and generate dose calculations with appropriate secondary checks. Delineate clearly discernable normal structures
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Position Description Occupational Summary Duke University’s Master's in Interdisciplinary Data Science program (MIDS) is seeking a Visiting Faculty and Scholar with expertise in quantitative finance research
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, staff and service line leadership on quality and performance improvement activities related to optimal utilization of resources, efficient delivery of high quality care, patient flow, capacity management