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prepare students for exciting careers within the process industry. Process industries include oil and gas production, chemical manufacturing, petroleum refining, mining and milling, power generation and
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benefit from automation and thereby improve the efficiency and accuracy of University operations. Learn more about the Office of Information Technology here: https://www.unr.edu/oit/about-oit . Contact
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https://casat.org/ Exempt Yes Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application the only attachment/s viewable to you will be the attachment/s to the resume
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports
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subject area, such as an MSc in Data Science, Health Data Analytics, Health Informatics or Computational Social Science. Experience with Natural Language Processing (NLP) or text mining, particularly
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and administration, ERP-related topics, project management, process modeling, IS security and compliance, business intelligence, data mining, cloud computing, and artificial intelligence systems
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· Higher Education/Academic Medical Center audit experience · Data mining experience Working Environmental Conditions Flexible in working additional hours to complete project deadlines
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expertise in language technologies. The LTI is dedicated to the study of human language and related information technologies, including NLP, speech, MT, computational linguistics, text mining, machine
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responsible for leading and conceptualizing advanced statistical modeling, predictive analytics, projections, forecasting, data mining, mixed-methods research (quantitative and qualitative), machine learning