513 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Texas Rio Grande Valley
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Professor (Open Rank) of Civil Engineering, with a focus on Construction Engineering and Management (CEM), beginning in the 2026-2027 academic year. The successful candidate is expected to develop and teach
-
performance, curricular effectiveness, and the quality of the learning environment. Leads curricular assessment mapping to ensure alignment of foundational and clinical coursework with competencies, program
-
management platform. Schedules individual module lectures, Problem Based Learning Sessions, assigned labs and exams. Responsible for assisting faculty with the following: creating module content, entering
-
to the stated close date of this position, after meeting the posting requirement of three (3) calendar days. If you have any questions, please visit our Careers site at https://careers.utrgv.edu for detailed
-
close date of this position, after meeting the posting requirement of three (3) calendar days. Quick Link https://careers.utrgv.edu/postings/50243
-
the 2025-2026 academic year to teach in its Bachelor’s/Master’s Kinesiology, Exercise Science and Health programs. Responsibilities include delivering quality instruction within the program in the required
-
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
-
at https://careers.utrgv.edu for detailed contact information. Additional Information UTRGV is a distributed location institution and working location is subject to change based on need. All UTRGV employees
-
. The successful candidate will teach undergraduate bilingual education and/or ESL courses face-to-face and/or online. Other responsibilities include participating in college performance assessment
-
language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign