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for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 2 yrs Required License/Registration/Certification None. Physical Requirements
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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification Licensed KY Notary Physical Requirements Requires handling of average
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/Mey 24G8b1X Deadline for submission of applications: 19 December. TITLE OF THE POSITION OFFERED: Research and Development in Machine Learning for smart cities. SUBJECT AREA: Computer Science. TYPE
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California State University, San Bernardino | San Bernardino, California | United States | about 4 hours ago
. General understanding of library automated systems and the ability to quickly learn and use campus library systems, as well as related on-line catalogs and systems. Ability to quickly learn and apply
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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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). Be willing to learn and utilize new MR imaging technologies to help educate and train research and clinical technologists/personnel. Consult and work with CCIR personnel to implement best practices
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such as Master Electrician, Assistant Master Electrician, Lighting Board Operator, and Lighting Programmer. Collaborate with faculty and staff to support student learning. Maintain a safe and inclusive
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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data. Building on these results and codebases, the successful candidate will work on a bioinformatics and machine learning research project on the inference of alternative splice forms using deep