507 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of South Carolina
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Associate Athletics Director/Sports Medicine to carry out methods of prevention, treatment and rehabilitation of injuries for student-athletes within their assigned sport. The assistant athletic trainer will
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, and tasks. Enforce and/or practice safe work habits. Knowledge of sprinkler system design, maintenance and turf grass management. Knowledge of personal computer and Excel spreadsheets. Good skills in
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to the advancement of knowledge in soil health and biogeochemical cycling. Applying appropriate statistical and computational methods to analyze experimental data, synthesizing results into coherent narratives, and
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analytical methods. The position provides a liaison with state and local agencies for collaboration and co-creation of tools and validation of place-based measures. The job also includes organizing
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. The degree must be in business, or a field related to a business discipline from a university with an AACSB-accredited program. ABD preferred. Candidates for this position must meet the USC Aiken AACSB faculty
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conferred master’s degree by 8/15/25. The degree must be in finance/accounting or a field related to a business discipline from a university with an AACSB-accredited program. ABD preferred. Candidates
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Thorough knowledge of principles and methods of planning and conducting a comprehensive fundraising program. Ability to establish and maintain good working relationships with faculty, alumni, donors
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driving record Preferred Qualifications Considerable knowledge of custodial operations and methods. Knowledge/Skills/Abilities A Successful background check is required. Ability to understand and carry out
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Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI/Machine Learning and education
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Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI/Machine Learning and education