376 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of New Mexico
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Student Intermediate Level Requisition ID req35466 Working Title Please see http://stuemp.unm.edu/tms/index.html Pay 14.00-17.00 Hourly Campus Main - Albuquerque, NM Department Cradle to Career
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Part-Time faculty to teach online and/or face-to-face Machining courses at the 1000 or 2000 level. This is a continuous recruitment beginning in the Summer 2026 semester. Positions are contingent upon
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Learning Specialist Requisition ID req35220 Working Title Learning Specialist Position Grade 12 Position Summary ****Hiring 2 Full-Time Learning Specialists**** The College of Nursing (CON
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Student Intermediate Level Requisition ID req35412 Working Title Peer Learning Facilitator Pay $16.00 Hourly Campus Main - Albuquerque, NM Department Nuclear Engineering (327A) Employment Type
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Student Intermediate Level Requisition ID req35404 Working Title Peer Learning Facilitator Pay $18.00 Hourly Campus Main - Albuquerque, NM Department Chemical and Biological Engineering (326A
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to more senior members of the team in Zoom administration, Linux based learning management systems (LMS) such as Moodle, and Microsoft 365/SharePoint administration. They will work closely with other
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be substituted for experience on a year for year basis. Preferred Qualifications Preferred Qualifications: Master's Degree Preferred HIPAA & Compliance Related Experience Strong Computer and Typing
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of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html . Refer to https://policy.unm.edu
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(CPCS) or commitment to achieve certification Credentialing database experience Desire to learn and grow as a Medical Services Professional (MSP) See the Position Description for additional information
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longitudinal modeling—to evaluate teaching, tutoring, and instructional interventions. · Experience developing, testing, and refining statistical and machine learning models to identify key drivers