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& Architecture Own and execute a multi‑year IT strategy and roadmap aligned to HCI’s clinical, research, and administrative priorities across Salt Lake City, community clinics, and the new Vineyard Campus and West
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tools) to support advanced reporting, forecasting, and decision-making. 3 years of experience using registry software (such as Epic/AQI NACOR/MPOG, etc.) and or the ability to learn and master. Experience
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using registry software (such as Epic/AQI NACOR/MPOG, etc.) and or the ability to learn and master. Experience initiating and developing programs including setting priorities, building staff and budget
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The UCSF Real Estate
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healthcare. Dr. Nunez’s lab focuses on the use of AI in mental health and cancer care, and the Postdoctoral Fellow will join a multidisciplinary team composed of data scientists, software engineers, and
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, as needed) within Media Hub, a division of Academic Technologies under Business Architecture in University Information & Technology (UIT) at Oregon State University (OSU). Positions are primarily
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software systems, carrying out both upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software
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interpret the architecture to local field potential data recorded in humans who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture
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Contribute to platform roadmap inputs, risk/impact assessments, and cost estimates Back up architectural reviews when needed Mentor Engineers I and Developers I/II in ITOM and CMDB practices Facilitate cross
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io