342 parallel-and-distributed-computing-phd positions at University of Texas at Dallas
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Physical Demands and Working Conditions Prolonged Sitting: Most tasks involve desk work, computer use, and paperwork. Light Lifting: Occasional lifting of office supplies, documents, or small packages
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responsible for reviewing, originating, and returning Federal Title IV program funds, including Direct Loan and TEACH Grant Awards, to ensure that timely and accurate eligibility determinations and
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opportunities, including a membership to Academic Impressions, LinkedIn Learning, and the UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special
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or equivalent. A minimum of six months of office and/or customer service experience. Preferred Education and Experience Basic computer skills, including Microsoft Office – Word, Outlook, Excel Other
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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access to a variety of professional development resources, including memberships to Academic Impressions, LinkedIn Learning, and participation in the UT Dallas Bright Leaders Program. For full details
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Bright Leaders Program. For full details, visit: https://hr.utdallas.edu/employees/benefits/ Special Instructions Summary Important Message 1) All employees serve as a representative of the University and
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and sense of community on campus. OUE consists of 55 full-time staff and employs more than 200 students, and in such, ensures program and staff practice accountability, treats students and colleagues
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Summary The Boyd Computational Social Science Lab is seeking a highly motivated post-doctoral scientist who is passionate about exploring the intersection of computational methods (e.g., machine learning
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Summary The Boyd Computational Social Science Lab is seeking a highly motivated post-doctoral scientist who is passionate about exploring the intersection of computational methods (e.g., machine learning