402 parallel-and-distributed-computing-"UNIS" positions at University of Texas at Dallas
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Computer Science, Information Systems or Accounting or any related field. •Two years working experience in performing business analyst’s functions with proficiency in one of the following areas or tracks: -Grants
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Compliance . The Director will participate in clinical teaching of AuD students in the Callier Clinic and may teach in the AuD Academic Program. The Director will also consult with Callier Center Leadership
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Remote Work Agreement will be required, and use of personal computer, internet, and other standard equipment may be required. Remote work arrangements are subject to regular review and re-approval and may
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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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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 opportunity with great benefits? Look no
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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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experience or associate’s degree and 4 years of related experience or high school diploma and 6 years of related experience. Preferred Education and Experience ·Bachelor’s degree with coursework in computing
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: Education Preferred- Certificate in Internal Audit from an Internal Audit Education Partnership Program. Experience Preferred- Four years of experience in auditing. At least one year of experience in internal
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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