393 computer-programmer "https:" "https:" "https:" "https:" uni jobs at University of Texas Rio Grande Valley
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the spring semester, or three (3) semester credit hours during the summer session or be registered in the required number of semester credit hours to fulfill the only remaining requirements of the degree plan
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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
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. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. Please Note Texas law requires faculty
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Academic Affairs FTE 1 FLSA Exempt Scope of Job SOFTWARE ENGINEER I To develop fundamental skills including Analysis, Design, Development, and Implementation of the computer-based Information Systems
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Technology Program, at https://www.utrgv.edu/et/index.htm . Minimum Qualifications Terminal degree (Ph.D.) in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, or a closely related
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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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resources to assist with design specifications, program logic and data requirements. Evaluates applications in order to identify potential problem areas and makes appropriate recommendations. Utilizes
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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
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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
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involve analysis of complex biological and medical data including multi-omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues. Develop novel computational