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duty. Skills and Knowledge: Must be able to perform foot patrol and work outside in all weather conditions. Ability to learn and utilize computer software designed for law enforcement. High level of
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recruitment website at: http://police.ua.edu/recruitment/ All communication will be sent via email. Job Summary: The Police Officer Trainee I completes UAPD in-house orientation, APOST Academy, and Field
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learning environment conducive to educating the residents in each of the ACGME Competency domains. The program director may establish a leadership team to assist in the accomplishment of program goals
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to customers in person, on the phone, and through e-mail and other written correspondence. Computer: Ability to work in and navigate Workday, use MS Word, Access and Excel, and other software applications
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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
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in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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of Citizenship and Public Affairs at Syracuse University seeks a Part-time Instructor to teach online PSC 202, Introduction to Political Analysis (3 credits), during Maymester 2026 (May 11 - May 22). The course
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components