773 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at University of Texas at Austin
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Description The Chandra Family Department of Electrical and Computer Engineering at The University of Texas Austin has multiple faculty openings with a start date of Fall 2026 for tenure-track
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, 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
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Informatics, or related field. Salesforce certifications such as: Advanced Administrator, Platform App Builder, Platform Developer I, Architect‑track certifications, or Health Cloud accreditation. Experience
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Job Posting Title: Enterprise Network Engineer III ---- Hiring Department: Enterprise Technology - Infrastructure ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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challenging. What starts here really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose The Academic Program Coordinator serves as an integral
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really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose The Senior Program Coordinator will support the Wall Street for McCombs (WSFM
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Communication; Rhetoric, Language and Political Studies; or Organizational Communication and Technology. The exact teaching duties will depend on the interests and capabilities of the individual and departmental
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databases) is expected. Preferred Qualifications Master's Degree in Computer Science, Data Engineering, Informatics, or a related field with at least 7 year(s) of experience in healthcare data engineering or
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Engineering, Computer Science, Computing Technologies or other related discipline. Demonstrated working proficiency with Red Hat, CentOS and Fedora operating systems concepts, practices, and procedures
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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