203 formal-verification-computer-science positions at University of Texas at Arlington
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, filing, typing, office supplies and errands. Arranges meetings, coordinates calendars, and prepares agendas and other formal and confidential correspondence. Manages accounts and financial transactions in
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Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems or related discipline. Five (5) years in SQL programming. In-depth working knowledge and experience of data mining in SQL
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, policies and guidelines. Initiates and responds to communications and inquiries. Provides assistance and technical information about the Technical Assistance for Water Loss Control (TAWLC) program, water
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and technical information about the Technical Assistance for Water Loss Control (TAWLC) program, water conservation, leak detection, efficiency measures, financial assistance, and emerging issues
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analytical processes. Performs other duties as assigned. Minimum Qualifications Bachelor’s degree or higher in Computer Science, Data Science, or a related discipline. Ten or more years of experience in data
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doctoral programs. It has approximately 10,000 students. In addition to IMSE, there are the Departments of Bioengineering, Civil Engineering, Computer Science and Engineering, Electrical Engineering
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mission, Student Affairs priorities, and Health Services outcomes. Collects, analyzes and uses data to inform and evaluate program effectiveness. Conducts assessment activities, including surveys, focus
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, computational materials, surface engineering, and advanced functional material (for energy, nano/micro electronics, bio applications). MSE at UTA is the oldest and most diversified program in North Texas with
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new materials, enabling advanced understanding of challenging material problems, and offering innovative curricula in nanotechnology, computational materials science, and advanced functional materials
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and technical information about the Technical Assistance for Water Loss Control (TAWLC) program, water conservation, leak detection, efficiency measures, financial assistance, and emerging issues