166 machine-learning "https:" "https:" "https:" positions at University of Texas Rio Grande Valley
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Teaching and Learning Location Rio Grande Valley, Texas Division/Organization Provost - Academic Affairs Appointment Period for Non-Tenure Position Tenure Status Non Tenure Track FTE Varies Scope of Job We
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projects. May assist in designing and creating computer programs for research applications. Operates and maintains equipment and automated systems. May train users on the operation and data management
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Aided Dispatch (CAD) system, and processes non-emergency and routine requests for police and security services. Dispatch appropriate emergency services such as police, fire and emergency medical services
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faculty and staff that can contribute to an enriching learning environment that strives for more equitable outcomes for student success. UTRGV is a distributed campus, one university spanning four counties
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development. • Co-author research papers with faculty when applicable. • Assist faculty with teaching materials and grading assignments. Learning Objectives During the assistantship, the graduate assistant will
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Temporary Full-Time Lecturer OYA beginning in the 2026-2027 academic year. Ability to teach health informatics coursework in the online setting, completion of UTRGV’s required online teaching training, and
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faculty and staff that can contribute to an enriching learning environment that strives for more equitable outcomes for student success. UTRGV is a distributed campus, one university spanning four counties
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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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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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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