487 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at University of Texas Rio Grande Valley
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Number A1340 Working Title Graduate Student Assistant (The Learning Center) Location Edinburg, Texas College N/A Department The Learning Center Division Division of Student Success FTE .5 Scope of Job
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of Job The Department of Electrical and Computer Engineering at The University of Texas Rio Grande Valley (UTRGV) occasionally has the need to hire non-tenure track, One-Year Lecturers to teach in its
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Rank) - Electrical & Computer Engineering Number of Vacancies 3 Location Rio Grande Valley, Texas Division/Organization Provost - Academic Affairs Appointment Period for Non-Tenure Position Tenure Status
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Assistant in Electrical Engineering Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Electrical and Computer Engineering
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experiences. Teach and serve in the Engineering Technology program and support other college programs (Mechanical, Electrical, or Computer Engineering) by offering select courses on the Brownsville campus
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required. A Ph.D. in Computer Science or a related field is required to teach graduate-level courses. Discipline Specific Required Qualifications Preferred Qualification Teaching experience is desirable, as
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. Provides operational and documentation support for assurance-of-learning and accreditation activities, including AACSB reporting and maintenance of required records. Maintains frequent interaction with
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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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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