351 high-performance-computing positions at University of Texas at Austin in United States
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with an end date of 8/31/2026, renewable based upon availability of funding, work performance, and progress toward research goals. Purpose This position will provide research assistance/support for
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school. Help pre-law students explore the legal field. Assist in coordinating our pre-law program, including the annual Law School Fair. This position reports directly to the Assistant Director of Pre-Law
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environmental science field, earned within the last 3 years. Prior experience in epifluorescence microscopy, Raman spectroscopy, and/or microbial cultivation. Strong academic track record and/or demonstrated high
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paperwork/visas. Processes tuition and scholarships for students. Manages event planning. Schedules and organizes research meetings, seminars, workshops, conferences, etc.. Performs other related duties as
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. These include Texas Performing Arts, the university’s arts presenting organization, and Landmarks, the university’s public art program. Academic units are similarly public facing and offer a robust calendar of
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relations with high school choral directors and programs in Texas and beyond. Recruit fine prospective undergraduate students in B.M. Voice Performance, Choral Studies (Music Education), and the B.A. music
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Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition
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sorting. Required Qualifications High school graduation or GED and 3 years of performing clerical or administrative support. Highly organized and capable of tracking and managing multiple tasks and
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. Performs related duties as assigned. May work on assigned projects. Required Qualifications Bachelor’s Degree. Demonstrated ability to execute successful full-cycle donor strategy. A minimum of three years
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. Experience with physical modeling, acoustics, signal processing and/or sonar; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance