184 machine-learning "https:" "https:" "https:" "https:" positions at University of Texas Rio Grande Valley
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recruiters capable of broadening participation among members of under-represented groups and will provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles
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graduate courses in exercise science or kinesiology, and performing other duties assigned by the department chair. Given that UTRGV is a distributed campus faculty will be required to teach in a variety of
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must have: A Ph.D. or DBA in Information Systems or a closely related field from an accredited university, Demonstrated capability or potential to teach undergraduate and master’s courses in information
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given to candidates who can teach a course on Texas Archaeology and who are willing to develop local research opportunities with the potential to benefit our students and local communities. The successful
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of Counseling at The University of Texas Rio Grande Valley (UTRGV) occasionally has the need to hire non-tenure track, part-time Lecturers to teach in its Masters of Counseling program for the academic year 2025
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/social media. INSTRUCTIONAL COMMUNICATION: The ideal candidate will demonstrate a strong record of research and leadership regarding the role of communication in learning environments. They will be
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expertise in all three areas. Depending upon the successful candidate’s experiences, they may teach courses in lighting design, sound design, scenic design, theatrical technology, and other coursework
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department seeks an energetic candidate to develop and teach Spanish linguistic courses at the undergraduate and graduate level, both in traditional and online environments. The selected applicant will support
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/Health Humanities beginning in the 2026-2027 academic year. The successful candidate will teach courses, which may include but are not limited to, Introduction to Medical/Health Humanities and other upper
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least 18 credit hours of graduate instruction in either computer information systems, quantitative methods (business statistics and analytics) , or a closely related field of study from an accredited