242 computer-programmer-"Multiple"-"U"-"Prof"-"O"-"Edge-Hill-University" positions at University of Texas at Arlington
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environment. Other Requirements Workplace and Eligibility Conditions Standard office conditions, with most of the time spent working at a computer. Professional activities and participation in Student Affairs
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Practicum Education databases to complete student matches and placements in approved agencies. Confirm with BSW, BSSUT, MSW, distance and online program Directors and academic advisors that students have the
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sides of the program. Performs other duties assigned. Minimum Qualifications Bachelor’s degree and one year of experience in environmental quality management, public utilities, chemistry, business
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public. Assist with the training of any new employee(s) and help prepare tools needed to understand boththe technical and administrative sides of the program. Performs other duties assigned. Minimum
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program or comprehensive operation and direction of smaller division or program. Essential Duties and Responsibilities Coordinates travel and prepares vouchers for payment or reimbursement. Processes
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, professional development, and the ability to build an extramurally funded research program. For the tenured position, candidates should have an exemplary record of scholarship and recognized leadership in
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/Electronic, Mechanical, or Computer Engineering with relevant expertise. Research Scientist III – Minimum Qualifications: PhD in Electrical/Electronic, Mechanical, or Computer Engineering plus two (2) years
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of academic policy and immigration regulations. Assists with campus outreach efforts and oversees advisor outreach participation to enhance and improve ISSS processes and services. Assists with the J-program
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at Arlington is one of the most prestigious schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall
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; developing post-graduation outcomes reports to evaluate program effectiveness; supporting predictive modeling to anticipate enrollment patterns, course performance, or retention risk; and conducting course