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provide care across a high-volume network, including the Level 1 Trauma Center at Toledo Hospital and Ebeid Children's Hospital Emergency Department (~105,000 visits annually), as well as the Level 2 Trauma
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biostatistics and machine learning, with particular emphasis on robust and trustworthy methods for learning from complex biomedical data. The postdoctoral associate will join an active and collaborative research
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to communicate complex technical concepts to diverse audiences. Strong project and/or program management experience Proven ability to work collaboratively with multiple stakeholders, including faculty, university
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
to UNC School of Medicine faculty, staff, and students for a variety of hardware, software, operating systems and networks. Principal duties require working knowledge, technical aptitude and analytical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
to UNC School of Medicine faculty, staff, and students for a variety of hardware, software, operating systems and networks. Principal duties require working knowledge, technical aptitude and analytical
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informatics, virtual reality, complexity and network science, and computational social science. We expect the successful candidate to hold at least an MS in Informatics or a closely related field and to be able
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High school diploma or equivalent. Two (2) years of work experience in IT‐related functions such as hardware/software support, programming, network design, network engineering, IT systems integration
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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: ● Experience with complex metabolomic and transcriptomic analyses ● Experience working with a diversity tissue types ● Experience working with network-based software systems for data management
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-clinical networks. The work will directly impact patient safety and digital resilience in some of the most vulnerable healthcare settings. If successful, your engineering will revolutionize the healthcare