501 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of Texas Rio Grande Valley
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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/50584
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questions, please visit our Careers site at https://careers.utrgv.edu for detailed contact information. Additional Information UTRGV is a distributed location institution and working location is subject to
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for education on a 1-on-1 basis. Preferred Experience Experience obtained within higher education. Equipment Knowledge of the use of personal computer, word processing, spreadsheet, and database software
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for civil engineers in the Rio Grande Valley and beyond, with over 850 students currently enrolled. Fostering a collaborative learning environment, the department encourages hands-on experiences through
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score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System
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score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System
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faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61
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. Preferred Experience The above required experience acquired in Higher Education. Equipment Personal computer and related spreadsheet and database software. Use of standard office equipment. Working Conditions
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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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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