502 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Texas Rio Grande Valley
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) calendar days. Quick Link https://careers.utrgv.edu/postings/49646
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efficient manner. Ability to learn and apply new information, knowledge and experiences in a timely manner. Must be flexible and adaptable to change. Strong multitask skills. Effective organizational skills
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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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, XHTML, XSLT, Javascript, AJAX, graphic design, web multimedia and cross browser and cross platform issues. General understanding of HTTP, web services architecture(REST, JSON), APIs, SDKs, web servers
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). Incomplete applications will not be considered. Substitutions to the above requirements must have prior approval from the VP of HR & Talent Development . Quick Link https://careers.utrgv.edu/postings/49773
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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
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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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academic year. The successful applicant will be expected to teach lower and upper division undergraduate physics, astronomy, or physical science courses in traditional, hybrid, and online formats. Given
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(CAEP). For more information about the College of Education and P-16 Integration, please see the following website: https://www.utrgv.edu/cep/ https://www.utrgv.edu/cep/schools-and-departments/department
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). Incomplete applications will not be considered. Substitutions to the above requirements must have prior approval from the VP of HR & Talent Development . Quick Link https://careers.utrgv.edu/postings/49703