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Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than
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(including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service
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the National Archives website at http://www.archives.gov/veterans/military-service-records/ *Please Note: As part of the first round of screening, the committee will conduct an anonymous review
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learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned special accreditation from professional and academic associations
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Safety Officer in accordance with state and federal regulations. Ensures compliance with applicable requirements from the DNR, U.S. Nuclear Regulatory Commission (NRC), OSHA, DOT, and the ANSI standards
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or learn basic computer operations related to position requirements. Demonstrated ability to read and interpret documents. Demonstrated ability to write routine reports. Demonstrated ability to communicate
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Department Booth Faculty Services: Faculty Specialists Students - Owings About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and
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others. To learn more, please visit https://www.marist.edu/about Type of Position: Full-time Classification: Faculty (Part-Time) Months per Year: 12 Work Schedule: Monday - Friday Four days: 8:30am - 5
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward