154 parallel-computing-numerical-methods-"Simons-Foundation" positions at The University of Memphis
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College Panhellenic Council) and provide overall leadership to all governing bodies within FSL. • Oversee the coordination and assessment of the chapter coaching program to promote organizational
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architectural site and/or landscaping plans, drawings and other operational and maintenance manuals common to the trade. Extensive knowledge of landscaping methods and industry best practices related to grading
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governing bodies within FSL. • Oversee the coordination and assessment of the chapter coaching program to promote organizational effectiveness and sustainable leadership practices. • Develop and implement
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Knowledge, Skills, and Abilities Thorough knowledge of office methods and procedures, as well as NCAA rules and policies. Advanced proficiency with Microsoft products and spreadsheet software programs such as
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to coordinate and instruct undergraduate courses in the Organizational Leadership program. The successful candidate will contribute to curriculum development, provide student advising, and engage in
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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posting for UofM employees only? No Positions Supervised N/A Knowledge, Skills, and Abilities Thorough knowledge of office methods and procedures, as well as NCAA rules and policies. Advanced proficiency
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sensing materials for resilient cities; circular and low-impact materials and manufacturing; integrated urban supply chains and localized production; computational methods and data-driven materials design
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sensing materials for resilient cities; circular and low-impact materials and manufacturing; integrated urban supply chains and localized production; computational methods and data-driven materials design
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sensing materials for resilient cities; circular and low-impact materials and manufacturing; integrated urban supply chains and localized production; computational methods and data-driven materials design