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for regulated data environments. Stay current with emerging data engineering and cloud technologies to enhance platform capabilities. Extend ELT architectures to support machine learning workloads. Build feature
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facilitative support for the daily simulation-based learning activities and Learning Environment technical functions within the College of Nursing (CON) Learning Environment, under the direction of the Director
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Epic auto-grader badge At least Five (5) years leadership experience of Epic Principal Trainers (UAMS Health Computer Application Training Specialists) Knowledge, Skills, and Abilities (KSAs
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motivation. Consistency in meeting deadlines and responding in a timely manner. Innovation: Possession of a natural curiosity to learn and a continual pursuit of personal and professional growth in the field
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registration and/or billings computer software programs Excellent written and verbal communication skills in English Demonstrated knowledge and understanding of Managed Care plans Demonstrated experience with
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from the military to university life. Level Scope: Spends the majority of time (50% or more) achieving organizational objectives through the coordinated achievements of subordinate staff. Manages
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and cognitive effects which technologies such as large language models, machine translation, and automatic speech recognition and synthesis have on translators, as well as their impact on the profession
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material