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information. Represents Student Account Services at orientation and information events by speaking, answering specific questions one-on-one with prospective students and parents, and training orientation
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data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research results. Preferred Qualifications
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regression, longitudinal data analysis, and machine learning. Experience working with large data sets and data management tools. Proficiency in Python required, with additional experience in statistical
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, processing of large amounts of meteorological and remote sensing data, and downscaling and processing climate change projections. Strong interpersonal skills to facilitate effective collaboration with
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visualization, geospatial analysis, and processing of large amounts of meteorological and remote sensing data. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a
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academic preparation and interests to determine appropriate opportunities at the University. Represents the University at on- and off-campus events and information sessions. Provides superior customer
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responsibilities for the Office of Information Technology’s Systems Engineering, Cloud Infrastructure Services and Telecommunications teams. These teams perform advanced engineering and operational support for UA’s
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opportunities. Coordinates recruiting efforts with local alumni chapters. Identifies prospective qualified undergraduate students. Plans student receptions and counselor briefings. Analyzes data on current and
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. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data
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(AI) and its application across nursing and healthcare environments. The ideal candidate will possess cross-disciplinary fluency in AI technologies—including machine learning, data science, big data