942 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Texas at Austin
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(or related): Botany, Ecology, Environmental Science, Information Science, Museum Studies, Education. Experience in digital asset management systems, including organizing, tagging, and maintaining image and
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operations, including processing U.S. and campus mail, receiving and logging bulk mail, FedEx, and UPS shipments, and maintaining accurate email notification lists for Dell Med faculty, staff, affiliates, and
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interested in applicants who will be running an ambitious research program by integrating state-of-the-art approaches of molecular and cell biology, genetics, genomic/epigenomic, single cell/spatial biology
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geoscience and engineering research to increase the production and profitability of earth resources, including oil, natural gas, hydrogen, geothermal, and minerals within the State of Texas. The program also
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students and rank among the top 10 public universities in the U.S. Texas Global is the university's global engagement arm and a recognized leader in international education, based on the success
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stack. Big Data Processing: Proficiency with big data frameworks such as Apache Spark for distributed data processing and large-scale computations. Experience optimizing Spark jobs for performance is
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Job Posting Title: Research Associate ---- Hiring Department: Department of Chemistry ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest
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guidance to peers. Demonstrates ownership, accountability, and initiative. Required Qualifications Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field. At least 6
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. The University of Texas at Austin School of Nursing continues to be a leader in nursing education, climbing in the latest U.S. News & World Report rankings for 2025. The Master of Science in Nursing (MSN) program
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the areas of cancer biology, immunology, and cancer therapeutics. We are particularly interested in candidates who utilize innovative computational approaches, data analytics, or artificial intelligence