822 computer-science-intern-"https:" "https:" "https:" positions at North Carolina State University
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Posting Details Posting Information Posting Number PG193871EP Internal Recruitment No Working Title Lecturer Anticipated Hiring Range $14,000/ 3 credit Course. If a section of Engineering Online is
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($62,000 - $67,000) Work Schedule Monday-Friday, 8AM-5PM Job Location Raleigh, NC Department Agricultural and Human Sciences Leadership Program About the Department Extension at NC State University partners
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Posting Details Posting Information Posting Number PG194576EP Internal Recruitment No Working Title Data Administrator Anticipated Hiring Range $64,000 to $70,000 Work Schedule Monday - Friday 8
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to communicate science to all audiences. Track record of securing funding required to maintain an internationally recognized program. Excellence in undergraduate or graduate teaching. Demonstrated professional
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Posting Details Posting Information Posting Number PG194562EP Internal Recruitment No Working Title Lecturer Anticipated Hiring Range $5,000 ($10,000 annualized) for 3 Credit Hours Work Schedule
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Posting Details Posting Information Posting Number PG193878EP Internal Recruitment No Working Title Lecturer, Marketing Anticipated Hiring Range Commensurate with education and experience. Work
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established itself as a premier research institution. Within theCollege of Humanities and Social Sciences, the School of Public and International Affairs (SPIA)serves as a comprehensive hub for public service
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established itself as a premier research institution. Within theCollege of Humanities and Social Sciences, the School of Public and International Affairs (SPIA)serves as a comprehensive hub for public service
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, Model Serving/Inference, and Monitoring. Technology Selection: Evaluate, select, and integrate appropriate cloud-native services (AWS, Azure, or GCP), hybrid and on-prem computing resources, and open
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/CloudFormation) for provisioning and managing all underlying compute, networking, and storage resources (e.g., Kubernetes clusters, GPU instances). Feature Engineering: Define shared data and feature management