116 engineering-computation "https:" "https:" "https:" "https:" "https:" positions at University of Texas at Austin
Sort by
Refine Your Search
-
work week. Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. Join Liberal Arts Instructional Technology Services (https://liberalarts.utexas.edu
-
or GED. Five years of experience operating heavy equipment. One year of experience in small-engine repair. One year of experience operating outdoor power equipment. Basic computer knowledge and familiarity
-
/benefits and https://hr.utexas.edu/current/services/my-total-rewards Purpose The Student Program Coordinator supports the planning, coordination, and delivery of student programming and events that foster
-
, contributing to the organization’s data-driven and AI-enabled transformation. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent
-
pride in our work. With this approach in mind, the team is organized into a zone-based structure and employs flexible work hours, data analysis, and technology to meet operational goals. Your skills will
-
of the first points of contact for technology support and solutions within University Housing and Dining (UHD). Provides computer desktop end-user support and audio-visual support by leveraging technical
-
for any employer without sponsorship. Join Liberal Arts Instructional Technology Services (https://liberalarts.utexas.edu/laits/ ), a unique service department dedicated to creating, maintaining, and
-
campuses and facilities. Drive UT vehicle. Required Qualifications Bachelor's degree from an ABET-accredited program in Mechanical, Electrical, Civil Engineering or other related field of Engineering
-
Job Posting Title: Journey Cable Splicer ---- Hiring Department: Enterprise Technology - University Data Center ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status
-
functions as assigned. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. At least two years of hands-on experience in Data