976 parallel-and-distributed-computing positions at University of Texas at Austin in United States
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Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP
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Compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic ticket discounts Access to UT Austin's libraries
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(TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the
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being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per
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to plan and accomplish goals. Proficient use of computers and a working knowledge of Microsoft Office. Able to read and interpret documents such as charts, safety rules, operating and maintenance
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. One or more years of purchasing experience with a corporate credit card and associated account reconciliation. Three years of experience using computers and related software such as Word, Excel, and
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specific program objectives. Other related functions as assigned. Required Qualifications Ph.D. degree in Mechanical Engineering, Electrical Engineering, Physics, Mathematics, or other applied science(s
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judgement to plan and accomplish goals. Proficient use of computers and a working knowledge of Microsoft Office. Able to read and interpret documents such as charts, safety rules, operating and maintenance
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Job Posting Title: Research Engineering/Scientist Associate III ---- Hiring Department: Department of Neuroscience ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Jul 01, 2025 ---- Position Duration: Expected to Continue...
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an internationally recognized research program at the University of Texas, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in-person