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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Post
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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MRI animal scanner, and a Siemens INVEON PET/SPECT/CT animal scanner. The MRRC currently supports 32 projects funded by $31.5 million of NIH grants. Projects span multiple disciplines including
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at Caltech. Innovation and creativity are essential. Other duties as assigned. Basic Qualifications PhD in the earth sciences or an adjacent science or engineering discipline, and at least eight years of
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Post
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Requirements PhD in Pharmaceutical Sciences or directly related field Preferred Qualifications, Competencies, and Experience The Research Assistant Professor will have the following essential competencies
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Job
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seeking a Research Assistant Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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screening cell line systems and execute multiple screenings Prepare and publish scientific manuscripts under the direction of PI Mentor junior lab members under the direction of PI Strong attention to detail