193 parallel-computing-numerical-methods-"Simons-Foundation" 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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-technical audiences. Preferred Qualifications: Master’s degree in a social science field. Experience conducting program evaluation, applied research, or policy analysis. Experience preparing grant proposals
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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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Pay Grade/Pay Range: Minimum: $18.32 - Midpoint: $21.97 (Hourly N4) Department/Organization: 206208 - Capstone Poll Normal Work Schedule: Monday-Friday 1:00pm to 9:00pm; some weekends might be needed Job Summary: The Research Assistant III assists with research work tasks of higher-complexity...
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a research program that results in published articles in outstanding scholarly publications and performing service as assigned by the Department, College, and University. Detailed Position Information
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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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requests received by computer and telephone. Prioritizes each request and processes all STAT requests immediately. Assists with urgent requests for protected health information to ensure continuity
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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