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research teams investigating integration care models. Contribute to program evaluation efforts and quality improvement studies. Access clinical data (with appropriate approvals) to address research questions
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classroom instruction by modeling how to lead effective lessons and/or hold seminars and interactive sessions with students when instructors are unavailable. Coordinate with the Student Support Services Unit
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of the application of healthcare finance and academic medicine. Demonstrated competence in health care payment models, value-based care models, Centers for Medicare and Medicaid Services, medical billing, accounting
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across the school. The ideal candidate will combine technical skills with an understanding of key metrics to develop dashboards, data visualizations, and models that will deliver actionable insights
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utilizing multicultural/diversity models and theories Demonstrated success collaborating with other offices or departments to meet departmental and university goals Physical Demands Salary Range $57,151
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/or concepts from the arts, humanities and/or social sciences to develop new kinds of AI (e.g. new models or new uses of existing models informed by humanistic or social scientific theory); Use AI
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the UBO. To benchmark PhD stipend level against competitor programs and project and manage stipend increases to preserve competitiveness. Lead financial forecasting and tuition revenue modeling efforts
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Summary The Department of Neurosurgery is seeking highly motivated individuals with a background in veterinary technology, veterinary surgical nursing and/or animal models to join the Canon Stroke and
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Engineer, you should be experienced in the development of scalable AI systems and deployment of distributed ML models, and will be expected to collaborate with researchers across domains. This role includes
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of distributed ML models. You will be expected to collaborate with senior engineers and researchers across domains. This role includes opportunities to work with state-of-the-art natural language processing, large