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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
the supervision of the Registered Nurse to carry out direct patient care responsibilities. All patient care team members act to meet patient needs and learn new skills to achieve quality patient care and customer
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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Successful applicants will teach undergraduate, M.H.A, and D.H.A. courses across more than one content area, such as: Healthcare Operations and Performance Improvement Health Economics and Health Policy
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constructive feedback on their work, presentations, or prototypes. Help assess the achievement of learning objectives and provide suggestions for improvement. Monitors the progress of student projects, ensuring
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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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experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices
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Development: Implement community development strategies aligned with the residential curriculum Work collaboratively with Facilities and Campus Safety to create a safe environment conducive to learning Advise
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computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations Preferred
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
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, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database