201 software-verification-computer-science uni jobs at University of Texas at Arlington
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Position Information Posting Number S06357P Position Title Career Development Specialist Department Engineering Location Arlington Position Status Full-time Work Schedule Monday – Friday; 8AM to 5PM
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, workplace wellness, health program planning experience or an equivalent mix of education and relevant experience in similar role. Preferred Qualifications Proficiency with MS Word, Outlook, Excel, PowerPoint
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Department Information The College of Engineering is home to seven departments: Bioengineering; Civil Engineering; Computer Science and Engineering; Electrical Engineering; Industrial, Manufacturing, and
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Position Information Posting Number S06229P Position Title Accountant II Department Science Location Arlington Job Family Finance/Accounting Position Status Full-time Work Hours Standard Work
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Position Information Posting Number S06178P Position Title Educational Advisor for Upward Bound II Department Precollege Program Location Arlington Job Family Instruction/Education Support Position
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Hours Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Benefits Eligible No Job Summary The Mathematics Department in the College of Science, the University
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and executes the athletics department’s student-athlete success program by engaging campus and community resources that foster holistic development of each student athlete to include high impact
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coverage. Utilizes all current technology, formats, and standards in videography, sound, photography, and video editing to deliver final products in accordance with project directives. Makes technical and
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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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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