493 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" uni jobs at University of Texas Rio Grande Valley
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experience. Experience may be substituted 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
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Posting Details Title Information Faculty Title Job Class Code FLSA Position Information Posting Number FRGV1896 Working Title Lecturer I (Open Rank) - Electrical & Computer Engineering Number
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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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of Job “The Department of Bilingual and Literacy Studies at The University of Texas Rio Grande Valley (UTRGV) occasionally has the need to hire non-tenure track, part-time Lecturers to teach in
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Exempt Scope of Job To develop fundamental skills including Analysis, Design, Development, and Implementation of the computer-based Information Systems to ensure efficiency, accuracy, and support the
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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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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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, participant recruitment, and attending weekly meetings. Additional learning opportunities may be provided based on project needs, with tasks aligned to the student’s professional development goals. Discipline
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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