160 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Texas Rio Grande Valley in United States
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or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience in interdisciplinary collaboration
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journals or conferences; experience with or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience
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FTE 1 Scope of Job The School of Art & Design at The University of Texas Rio Grande Valley (UTRGV) is looking to hire a Part-Time Lecturer to start Spring 2026 to teach in its Bachelor’s/Master of Fine
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medical school is preferred. The chosen individual will assist in implementing a vertically and horizontally integrated curriculum utilizing active, team based, and problem based learning, flipped classroom
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on contingency by the American Psychological Association. The successful candidate will also be expected to maintain an active program of research, seek extramural research funding, teach graduate level courses in
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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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Informatics. Successful candidates will be expected to teach and build research programs in the general area of cybersecurity. The Department of Informatics and Engineering Systems currently has fifteen faculty
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individual will assist in implementing a vertically and horizontally integrated curriculum utilizing active learning, team-based learning, problem-based learning, flipped classroom and self-directed study