501 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Texas Rio Grande Valley
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to Applicants All applications must be submitted via the UTRGV application portal at http://careers.utrgv.edu. If you are applying for the first time, please complete all biographical information including
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for employment positions of interest. Open Date 01/08/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying
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for employment positions of interest. Open Date 01/14/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying
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to UTRGV’s strategic plan, vision, mission, values and core priorities (https://www.utrgv.edu/strategic-plan/). About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique
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academic year. Part-time lecturers are paid per course taught commensurate with experience and/or qualifications and serve at the need of the program, department, and college. Ability to teach health
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the 2026-2027 academic year. Ability to teach health informatics coursework in the online setting, completion of UTRGV’s required online teaching training, and the ability to hold online office hours/provide
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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 Education
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Application, resume and official transcripts to Alberto Castillo, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, Texas 78539 or send application via https://careers.utrgv.edu
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of the use of personal computer, word processing, spreadsheet, and database software. Standard office equipment. Working Conditions Needs to be able to successfully perform all required duties. Excellent
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Texas, one of the nation’s most rapidly developing regions, and collaborate with strong industry and government partners to design applied learning ecosystems that reflect real-world practice