456 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at The University of Arizona
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Limited Term Adjunct Instructor, Teaching/Learning and Sociocultural Studies Posting Number req25480 Department Teachg Learning Sociocult Stds Department Website Link https://education.arizona.edu/teaching
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/Scientist IV, Electrical and Computer Engineering Posting Number req25245 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Tucson Campus Address
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Sign In Create Profile Tutor/Assistant Learning Specialist (Multiple Positions) (Part Time) Tucson, AZ, United States | req25186 Apply Now Share Save Job Back to Search Tutor/Assistant Learning
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research, learning, and operations. It provides expertise in technology policies, plans, architecture, deployment, and maintenance of the University's Identity and Access Management applications and systems
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Sign In Create Profile Auto Mechanic IV, Steward Observatory (Safford, AZ) Safford, AZ, United States | req24871 Apply Now Share Save Job Posted on: 1/12/2026 Back to Search Auto Mechanic IV
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, Pathology and Lab Medicine (Full Time) Posting Number req25519 Department Pathology and Lab Medicine Department Website Link https://pathology.arizona.edu/ Location Tucson Campus Address 1501 N Campbell Ave
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) Posting Number req25554 Department University Police Department Department Website Link https://uapd.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The University of Arizona
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, (Molecular Focus) Posting Number req25465 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location Tucson Campus Address 2831 N Freeway, Tucson, AZ 85705 USA Position
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, Virology Posting Number req25484 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway, Tucson, AZ 85705 USA Position
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural