560 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at North Carolina State University
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responsiveness to time-sensitive tickets and urgent service requests Create requests for network port activations, phone relocations, and printer moves. Maintain the Resiliency operations center (ROC) technology
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Technology Loan Program in rural, high-need areas, and 4) Broader Impact Support that helps NC State faculty in developing Impact Identities and carrying out broader impacts activities integrated with
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buildings/classrooms spread across both campuses, capturing and/or streaming live on-campus classes, assisting faculty with computer applications immediately during live lecture capture classes, and ensuring
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($62,000 - $65,000) Work Schedule Monday-Friday, 8AM-5PM Job Location Raleigh, NC Department Agricultural and Human Sciences About the Department The Supplemental Nutrition Assistance Program Education (SNAP
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- Friday, 8 am - 5 pm Job Location Raleigh, NC Department Department of Materials Science and Engineering About the Department The Department of Materials Science and Engineering (MSE) at NC State University
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. We prepare students, create, and apply unbiased knowledge through advances in science and technology, and drive economic development to improve the quality of life in North Carolina, our nation, and
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of the links offered. Essential Job Duties This faculty position will be expected to develop an extension, research and teaching program which addresses the biology, ecology and management of arthropod pests in
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research, extension, and teaching related to soil science and the genetic improvement, production, and utilization of agronomic and turfgrass crops. Research in basic and applied science and the engagement
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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