20 electronics-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of Texas Rio Grande Valley
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an accredited university. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research
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Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying for the first time, please complete all biographical
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. Open Date 08/13/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying for the first time, please
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abled persons to apply for employment positions of interest. Open Date 08/13/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https
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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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Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying for the first time, please complete all biographical
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abled persons to apply for employment positions of interest. Open Date 08/10/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at http
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Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at http://careers.utrgv.edu. If you are applying for the first time, please complete all biographical
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Science / Electrical and 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
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and wildlife