192 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at University of Utah
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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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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Computer Technician Bookmark this Posting Print Preview | Apply for this Job Please see Special
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studies - Use commercial and machine-learning-based tools for behavior analysis - Perform brain histology for immunohistochemistry and in situ hybridization - Lead experiments in cross
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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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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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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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) 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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to work efficiently and independently. • Demonstrated computer skills and an ability and willingness to learn new applications and software, procedures and processes. • Ability to assimilate data from
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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
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for many of the U’s shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies