512 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Texas Rio Grande Valley in United States
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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
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Posting Details Position Information Posting Number SRGV8800 Working Title ADMINISTRATIVE ASSISTANT II Number of Vacancies 1 Location Edinburg, Texas Department The Learning Center FTE 1.0 FLSA Non
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. Supervision Given Direct supervision of assigned staff. Required Education Bachelor’s degree in Computer Science, Information Technology or computer related field from an accredited university. Preferred
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Non Tenure Track FTE 1 Scope of Job The School of Earth, Environmental, and Marine Sciences (SEEMS) welcomes applications for a Lecturer in Geology to instruct in the Environmental Sciences Program
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Instructor will teach a criminal justice course under the supervision of the department. Discipline Specific Required Qualifications The Graduate Assistant Instructor position is open to full-time graduate
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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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Computer Engineering Division Provost - Academic Affairs FTE .5 Scope of Job Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment
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from assigned supervisor. Supervision Given Direct supervision of assigned staff. Required Education Bachelor’s degree in Computer Science, Information Technology or computer related field from
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. Preferred Experience Experience obtained within higher education. Equipment Knowledge of the use of personal computer, word processing, spreadsheet, and database software. Standard office equipment. Working
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and