485 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Texas at Austin
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Extended Education Ventures (EEV), the Director of Marketing and Learner Recruitment works closely with teams devoted to student support, course and program development, technology services, custom training
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the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required
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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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science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with
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keyboard and desktop computer Hybrid telework optional Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest
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actions, credit card program management and Human Resources (recruiting and hiring). SALARY RANGE $107,055 + depending on qualifications Working Environment and Equipment Standard office equipment
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to all UT policies as set forth by the University of Texas Youth Protection Program, UT Human Resources, and GeoFORCE Texas: Youth Protection Program Guidebook Zero-tolerance no alcohol policy
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. 8) Serve as back up to fellow BAS team members and program or administrative staff. Provide administrative support for photocopying and/or onsite meeting logistics as assigned. Other duties as
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, and production environments. The Epic Database Administrator collaborates closely with Epic analysts, infrastructure teams, and clinical informatics staff to support data-driven decision-making and
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Robotics, engineering, Computer Science, math or other applied sciences. Demonstrated ability related to the development and application of robotics, autonomy or machine learning algorithms. Demonstrated