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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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) - - Registered Nurse (RN) - (Oncology/Infusion), Internal Traveler Program Location Charlottesville, Virginia, United States of America UVA Medical Center Job Id R0067788 Save Job Apply Now Share this Opportunity
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or changes in care with the healthcare team. Varies by assignment The Internal Traveler Program is an opportunity to explore the boundless possibilities for nurses at UVA Health. Internal Traveler positions
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clinicians and are part of a professional nursing community that is actively involved in transforming health and inspiring hope for all Virginians and beyond. he Internal Traveler Program is an opportunity
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science, mathematics, engineering, technology, and computer science education. The post doc will work closely with the Global Center for Equitable Computer Science Education, receiving mentorship in
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functional imaging to better understand disease pathophysiology, to discover new therapeutic targets, and to develop novel diagnostic algorithms that can improve patient care. Specific areas of research
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regulatory clearance of a new AP System (that included the algorithm program developed at the Center), published on October 16, 2019 in the New England Journal of Medicine . For more information visit: https
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from
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/stooping, reaching (overhead, extensive, repetitive) and repetitive motion: computer keyboard. Proficient communicative, auditory and visual skills; Attention to detail and ability to write legibly