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systems to clock in/out. Able to handle varying workloads and meet deadlines as necessary. Communicate orally and in writing as required to exchange information; read and understand basic written materials
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to lift objects up to 50 lbs., and push/pull up to 100 lbs., depending on job assignment. Ability to stand and/or walk for long periods of time and adapt to a large kitchen environment with varying
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with university IT staff. Essential Duties include but are not limited to: Data Leadership Lead creation and management of multiple large datasets, developing reports, and troubleshooting data issues
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to make a big impact in the lives of others? The University of Oklahoma Employee Services Team is dedicated to serving the diverse university community by efficiently and effectively onboarding university
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inspection of the irrigation system. Assists with repairs of valves to include but not limited to, valve body, bonnet, diaphragm and solenoid, sprinkler heads, and large and small leaks. Responsible for back
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to chemicals and noxious odors. Ability to lift objects up to 58 lbs., and push/pull up to 100 lbs., depending on job assignment. Ability to stand and/or walk for long periods of time and adapt to a large
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communication plans to deliver key Housing information to current and prospective students, ensuring messages are clear, consistent, and informative. Works closely with the Office of Admissions and Recruitment
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, and arranges delivery of technology assets across campus. The Specialist maintains thorough documentation of all deliveries, including location information and photographic confirmation. This role
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of methodologies and processes for managing large scale databases. Demonstrated experience in handling large data sets and relational databases. Knowledge of addressing and metadata standards. Advanced written and
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. Oversight of computing clusters, either on campus, at remote sites, or in the cloud. Duties: Analyzes large data sets for genomics, proteomics, metabolomics, and lipidomics projects including exporting data