182 parallel-and-distributed-computing positions at The University of Alabama in United States
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communications with others. Basic computer skills such as word processing and email. Ability to effectively interact with University community members for the purpose of program development. Preferred
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, accessing campus-based administrative systems, installing licensed software, and performing basic computer maintenance under close supervision. Provide courteous, responsive service via telephone, in person
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. Applicants must be enrolled in a UA degree program and meet minimum credit hour requirements during the academic year: Undergraduate Students must be registered for at least 6 credit hours during fall/spring
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/faculty against departmental budget. Performs some simple budget monitoring/entry. Operates standard office equipment such as personal computers, copiers, fax machines, etc. Additional Department Summary
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experience. Skills and Knowledge: Strong communication, interpersonal, public relations, planning, and organization skills. Ability to establish priorities. Basic knowledge of the usage of personal computers
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electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross-disciplinary AI
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eligible for on-campus student employment. Applicants must be enrolled in a UA degree program and meet minimum credit hour requirements during the academic year: Undergraduate Students must be registered
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, and tracking of new research protocols, amendments, and continuing reviews of protocols. Supports post approval monitoring program and the reliance process. Provides guidance, assistance, and support to
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. Citizen or U.S. Permanent Resident in order to serve as an F-1 Designated School Official (DSO) with the Department of Homeland Security's Student Exchange Visitor Program and as a J-1 Alternative
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in