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CUNY Craig Newmark Graduate School of Journalism | New York City, New York | United States | 6 days ago
an electric machine. Scrubs floors with an electric machine; waxes and polishes floors. Hand scrubs stairs and stair landings. Empties waste basket and disposes of refuse. Vacuums and cleans rugs, carpets, and
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brush or by using an electric machine. Scrubs floors with an electric machine; waxes and polishes floors. Hand scrubs stairs and stair landings. Empties waste basket and disposes of refuse. Vacuums and
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Summary: The Data Processing Specialist I helps ensure the integrity of University Advancement’s Customer Relationship Management (CRM) by inputting constituent data updates provided by all areas
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Posting Summary Logo Posting Number STA00033PO26 Job Family Information Technology Job Function IT Business Systems Analysis USC Market Title IT Program Coordinator Link to USC Market Title https
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-oriented, and forward-thinking environment with tremendous opportunities for personal and professional growth. The Cancer Clinical Trials Office (CCTO) is an integral component of the Stanford Cancer
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, carpentry, painting, roofing, sheet metal, masonry, elevators, signage and, hardware and locks) and other Administration departments. Materiel Management-Procurement is the only department on campus with a
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. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a
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. The Diagnostic Radiology component incorporates all the major divisions of contemporary imaging. The members of our attending staff are all fellowship trained board certified radiologists who provide instruction
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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river valleys); • Identify stylistic patterns and regional variations in schematic rock art; • Apply machine learning tools for large-scale stylistic classification; • Establish a robust chronological