981 software-verification-computer-science-"TCAT-Jacksboro" positions at University of Minnesota
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activities across the Medical School's two campuses: Twin Cities and Duluth. We sponsor five fellowship programs—sports medicine, hospice and palliative medicine, behavioral medicine, clinical informatics, and
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and hardware, AS400 systems, and related systems is desirable. Well-developed computer proficiency in effectively using MS Office Suite software for work initiatives. Skill in using computerized
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include but are not limited to 30% Project Management Utilizes computer software, including management reporting systems and construction project management software in order to plan, monitor and report on
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health, sociology, anthropology, health sciences, or a related field - or current enrollment in such a program with at least three years of coursework completed Demonstrated ability to work independently
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research Standard Operating Procedures, the Code of Federal Regulations for clinical trials and Good Clinical Practice guidelines. Computer proficiency and ability to navigate multiple software applications
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strongly preferred) and standard computer software (Google Workspace, Microsoft Office, etc.). Excellent interpersonal and communication skills with the ability to collaborate effectively across diverse
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able and willing to work nights, weekends, and some holidays frequently Strong computer literacy in Windows, Excel, Word, and Publisher as well as internet functions Preferred Qualifications Master's
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Qualifications: Bachelor’s degree in a related field (web development/design, information technology, computer science, human-computer interaction) and four years of experience in digital/IT accessibility analysis
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management – program set-up and policy compliance • Device & technology management – oversees departmentally issued devices, makes recommendations for technology upgrades, including apps & app development
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). Research projects will also require engineering design, prototype testing and evaluation, hardware and software development, pre-clinical study data collection, clinical study data collection, data analysis