90 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Alabama, Tuscaloosa
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) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background
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Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior
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interruptions. Ability to learn and use various department specific phone, computer, and other online systems. Ability to maintain confidentiality. Ability to operate University owned motor vehicles while
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addition to email capabilities. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media
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communication, maintaining project web site and social media, budgeting, record keeping, managing data, coordinating logistics and travel, tracking progress, evaluating the program, serving as the primary author
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for a postdoctoral fellow position. This project will focus on geospatial analysis to identify data and research monitoring gaps in the Northern Gulf of America, as a first step toward developing a
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. Valid U.S Driver’s license. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from
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person for any emergency situation for UAPD or UA facilities. Provides technical assistance and support related to computer systems, hardware, and software to patrons as needed. Handles course reserves
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and Knowledge: Excellent clinical documentation skills. Excellent communication skills. Ability to work in interdisciplinary, data-informed environments. Preferred Qualifications: Veteran status
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of materials to UA patrons in a timely manner; and negotiating extended loan terms or overdue fine impositions. Utilizes library automated system modules to input data or search for moderately difficulty records