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Machine Learning AI, cosmological inference, data analysis, spectroscopic and imaging data are preferred requirements. Familiarity with DESI data is a preferred requirement as well. Outstanding UA benefits
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a team responsible for providing customer service and cashiering support related to student financial accounts at the University of Arizona's Busar's Office. The Financial Services Specialist will
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that facilitates customer access to the collections of the University of Arizona Libraries. Other primary responsibilities for these positions include collaborating with the Training Coordinator to support training
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business needs. The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click
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Innovation & Impact Department Website Link https://research.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The Office of Research and Partnerships at the University of Arizona is
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.uahs.arizona.edu/about-cb2 Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The Center for Biomedical Informatics & Biostatistics (CB2) seeks a postdoctoral scholar to
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qualified family members; retirement plans; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information
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for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs
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/ Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The UA Center for Disparities in Diabetes, Obesity, and Metabolism (CDDOM) is seeking to hire a Laboratory Research
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of Arizona and relocations services, please click here . Duties & Responsibilities Image analysis and work with the "Taming the sharks" team to develop 3-D models of galactic dust using machine learning