493 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of Texas Rio Grande Valley
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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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of Job To support the operation, coordination, and execution of Career Center programs and initiatives, including career readiness, employer engagement, and experiential learning efforts. Responsible
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patient confidentiality regarding access to patient and other clinical information via email, computer, fax, and mail. Verifies patient insurance eligibility and benefits through various payers, including
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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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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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Tenure Status Non Tenure Track FTE 1.0 Scope of Job The School of Art and Design at The University of Texas Rio Grande Valley (UTRGV) is hiring One (1) one-year lecturer to start Fall 2025 to teach in its
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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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manages reservations and room/events for program activities, such as meetings, orientations, and professional learning events related to Early Field program goals; drafts agendas, correspondence, and
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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