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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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centralised, cloud-based deployment of Foundation Models (FMs) towards a Resource-driven Computing Continuum (RCC): a layered architecture that seamlessly spans Cloud, Edge and IoT tiers, deploying intelligence
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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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engineers building high-profile bespoke web systems and cloud-native services, and modernising existing applications. This is a hybrid position, with amazing benefits, like a defined benefit pension and 41
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Number 28000539 Agency Northern VA Community College Division NV280-VP of College Computing Work Location Fairfax County - 059 Hiring Range $105,000 - $125,000 Emergency/Essential Personnel No EEO Category
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expertise in computing and information systems to develop, manage, and support sophisticated IT services including server and cloud services. They play a pivotal role in maintaining the operational excellence
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. You'll work at the forefront of cloud and data modernization initiatives, building robust data pipelines, reusable engineering frameworks, curated data products, and foundational platform capabilities
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. • Upload outside imaging studies from CDs, electronic transfers, cloud platforms, or other media into the appropriate patient record. • Verify image quality, completeness, and correct association with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 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
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence