532 parallel-and-distributed-computing uni jobs at University of Texas Rio Grande Valley
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications 1. Must be admitted to a graduate degree program. 2. Must be
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Posting Details Title Information Assistantship Title Graduate Assistant Instructor Job Class Code 10066 FLSA Exempt Minimum Qualifications 1. Must be admitted to a graduate degree program. 2. Must
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MACC program within theRCV College of Business and Entrepreneurship 2. Be in good academic standing 3. Be registered full-time for the respective semester (nine semester credit hours during the fall
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enrolled graduate students. Preferred Qualifications Preference to those in good standing with the MA Spanish program. Salary $2,900 per semester Number of Vacancies 2 Desired Start Date 09/01/2025 Posting
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Information UTRGV is a distributed location institution and working location is subject to change based on need. All UTRGV employees are required to have a criminal background check (CBC). Incomplete
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications 1. Must be admitted to a graduate degree program. 2. Must be
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A0635 Working Title Graduate Assistant - Electrical Engineering Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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be instructor of record for PSYC 2301. Discipline Specific Required Qualifications Assistantship open to doctoral students enrolled in the Clinical Psychology PhD program. Preferred Qualifications
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performing clerical tasks associated with course instruction. Discipline Specific Required Qualifications Graduate Teaching Assistant is for students enrolled in the graduate psychology program. The
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Posting Details Title Information Assistantship Title Graduate Assistant Job Class Code 10096 FLSA Exempt Minimum Qualifications 1. Must be admitted to a graduate degree program. 2. Must be in good