236 proof-checking-postdoc-computer-science-logic positions at University of Texas at Arlington
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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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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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experience, qualifications, and overall fit for the role. Essential Duties and Responsibilities Performs routine reviews of information, applications, documentation, and data related to submitted by PWSs and
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levels. The annual salary for this position ranges from $45,400-$50,000.The final offer will be based on the candidate’s experience, qualifications, and overall fit for the role. Essential Duties and
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and procedures. Skill in the use of custodial chemicals and the operation of housekeeping equipment. Knowledge of cleaning agents and chemicals. Ability to perform duties following oral and written
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Position Information Posting Number F00602P Position Title Tenure/Tenure Track Professor Department Computer Science and Engineer Location Arlington Job Family Faculty Position Status Full-time Rank
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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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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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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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Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology. Mathematical techniques include qualitative and numerical analysis