159 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Utah in United States
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problems. 5. Computer Skills – To perform this job successfully, an individual should be able to learn and use all functions of electronic medical record software and transcription software. Must accurately
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to the classroom every day, fostering children’s natural curiosity to learn through play and discovery. They encourage children to be lifelong learners using our nationally recognized curriculum that promotes active
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Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00810 - Scient Comp
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Human Resources at 801-581-7447. Learn more about the great benefits of working for the University of Utah: https://benefits.utah.edu Responsibilities Engage with faculty, staff, and a variety of external
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provided, including hands-on instruction in NetSuite, VitalSource, and department procedures. This role is ideal for a detail-oriented individual who is reliable, willing to learn, and comfortable working
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) or afternoon (12:30 to 4:30) M-F. Preferences Willingness to learn complex procedures and new technologies Attention to detail Computer literacy and experience with using software Comfortable with working
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Open Date 10/31/2025 Requisition Number PRN43468B Job Title Software Researchers Working Title Software Researcher I through III Career Progression Track P00 Track Level FLSA Code Computer Employee
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Learning Opportunities (VSLO), SFESOM Tools database, OnBase, CourseDog and curriculum specific databases. Frequent collaboration occurs with various departments in the SFESOM, University of Utah Health, and
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help UU Student - Computer Bookmark this Posting Print Preview | Apply for this Job Please see Special
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Use commercial and machine-learning-based tools for behavior analysis Perform brain histology for immunohistochemistry and in situ hybridization Lead experiments in cross-campus collaborations Help