664 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Austin
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microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices. Our Impact Backed by $1.4 billion in combined funding from DARPA, Texas state
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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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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 areas of cancer biology, immunology, and cancer therapeutics. We are particularly interested in candidates who utilize innovative computational approaches, data analytics, or artificial intelligence
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through a sport humanities/social science approach. This program includes coursework in sport history, ethics, sport law, sport economics, the history of strength and exercise science, the history
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one year of library experience; or twelve hours of graduate coursework in Library and Information Science. Experience using suite of Microsoft Office computer applications including Word and Excel
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strategic decision-making. Reporting to the Director of Data Intelligence and Decision Science, the Data Engineer collaborates with data scientists, analysts, software engineers, and clinical informatics