122 parallel-processing-bioinformatics-"DIFFER" positions at The University of Alabama
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Schedule: Varies; Monday - Friday 9am to 4:45pm, up to 20 hours a week Job Summary: The Manuscript Processing Student Assistant assists the Congressional Processing Archivists in processing, arranging
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Department/Organization 219101 - University Libraries Rank Clinical Assistant Professor Position Summary THE UNIVERSITY OF ALABAMA LIBRARIES Congressional Processing Archivist The University
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- Computer Labs Normal Work Schedule: Varies; Monday - Friday 7:30am to various times Note to Applicants: To be considered, applicants must include a cover letter, resume, class schedule, and a document
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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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the Lending and RapidILL process by performing searches in the online catalog; verifying UA ownership of requested materials; insuring that materials are delivered in a timely manner to other institutions
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and skills in a retail environment that parallels the functions of this position. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology
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technical assistance and support related to computer systems, hardware, and software to patrons as needed. Handles course reserves, book stack maintenance, and tracing missing books in Rodgers and serves as a
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supporting customer head-ins/interconnects into an MDF. Expertise in high-performance networking technologies like InfiniBand, including fabric management and troubleshooting. Understanding of parallel
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/interconnects into an MDF. Expertise in high-performance networking technologies like InfiniBand, including fabric management and troubleshooting. Understanding of parallel computing concepts and how they impact