576 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Virginia
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financial needs Retirement through the Virginia Retirement System Tuition and professional development benefits Employee wellness program featuring activities to earn up to $500/year Physical Demands
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of Continuum Home Health and Home Infusion. This includes the implementation of the home health program, quality review, quality improvement, intake and referral review and orientation. Nurse Coordinators work
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supervision and collaborating with and mentoring graduate and undergraduate students, QUALIFICATION REQUIREMENTS: A Ph.D. in Psychology, Human Development, Political Science, Computer Science, Data Science or
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of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. To Apply: Apply online at http://jobs.virginia.edu/us/en/job/R0078170/Systems-Control-Center
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year. For more information, refer to the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029 The University will perform background checks on all new hires prior to employment. Questions
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operational excellence. Identify and resolve performance bottlenecks, data quality issues, and compute inefficiencies. Support implementation of data governance, security controls, and privacy requirements
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toward their desired path after high school—from exploring careers to assisting with applications. Learn more about AdviseVA here: https://adviseva.virginia.edu/ AdviseVA considers a variety of
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single course. This is an at-will faculty wage position which does not carry benefits. To apply, please submit an application online at https://jobs.virginia.edu and attach a cover letter, curriculum vitae
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, interdisciplinary Interconnected Cosmos Initiative (ICI). ICI brings together Astronomy, Physics, Chemistry, Environmental Sciences, Engineering (including Computer Science, Data Science, and Materials Science), and
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative