487 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Texas Rio Grande Valley
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, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, Texas 78539 or send application via https://careers.utrgv.edu/ Note: These positions are security-sensitive and are subject to Texas
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, tutoring, counseling, etc.). • Coordinates staff development and training in areas related to learning assistance and accommodating students with disabilities as classified under the ADA. • Responsible
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least 18 credit hours of graduate instruction in either computer information systems, quantitative methods (business statistics and analytics) , or a closely related field of study from an accredited
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well as ability to use technology to support teaching and learning. Ability to teach online is preferred. Preferred Qualifications Preferred Qualification: Research or teaching experience is desirable, as
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faculty member, the Director is expected to teach 3 classes (2 / 1 teaching load) per year in their areas of expertise in the Bachelor’s/Master of Fine Arts (B.A./BFA/MFA) program, advise students, and
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to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days. Quick Link https://careers.utrgv.edu/postings/47835
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technology to support teaching and learning. Salary Commensurate with Qualifications and Experience License or Certification Required? Yes Number of Vacancies 1 Desired Start Date 06/01/2026 Posting Detail
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Equipment Nurse Practitioner: Use of standard office equipment. Use of medical equipment as required. Physician Assistant: Standard medical and surgical instruments and equipment. Personal computer and
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Exempt Scope of Job Perform mid-level analysis, design, development, and implementation for the computer-based Information Systems to ensure efficiency, accuracy, and support the business processes of
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, as necessary Summarize and transcribe interviews Provide ready access to all experimental data for the faculty researcher and/or supervisor Request or acquire equipment or supplies necessary