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Field
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, researchers, and graduate students to translate scientific and engineering workflows into robust, scalable, and reproducible computational applications. Responsibilities include professionalization of software
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Job Description The Data and Analytics Engineer role is responsible for designing, developing, and supporting enterprise data products, cloud data pipelines, and analytics solutions that enable
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following: Essential Criteria: 2:1 Honours Degree, or equivalent, in Computer Science, Electrical/Electronic
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/ Business Intelligence Report Developer in the Department of Enterprise Applications and Research Computing (EARC) within the Office of Information Technology (OIT). Under the direction of the Sr. Manager of
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University seeks an Applications Developer to develop user-facing software for a new Programmable Cloud Laboratory initiative funded by the National Science Foundation. This position will be filled
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Duration: Fall semester; 14 hours per week Reporting Structure: This is a non-management position within the Division of Computational Health Sciences within the University of Minnesota Medical School, and
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implementation of large-scale projects supporting AI innovation, federated data ecosystems, privacy-enhancing technologies, cloud-native platforms, and scientific computing environments. Working with faculty
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various cloud services within commercial cloud environment (AWS and Azure) to identify root cause of the issues / incidents. Secure and maintain up-to-date baseline HCC computing services such as vm image
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Infrastructure and Cloud Operations Manages and optimizes the C-BRAIN data infrastructure: storage accounts, computes resources, data lakes, and access controls. Implements and maintains data access controls and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
contribute to the design, development, deployment, and operation of cloud-native computing environments that support research and data-driven projects at the Renaissance Computing Institute (RENCI