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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 19 days ago
OneIT (Adm) Employment Type: Permanent - Full-time Months Per Year: 12 Essential Duties and Responsibilities: Configure, develop, and maintain Marketing Cloud applications to support institutional
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; • analyze the role of Cloud Computing as an enabler for the introduction and development of emerging technologies such as quantum solutions; • examine the development of Cloud Computing services dedicated
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: Strong technical knowledge of on-premise server infrastructure, including Windows Server, Linux, VMware, and Hyper-V Solid understanding of Azure cloud services, including compute, storage, networking, and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
Position Information General Information Position Number 008008 Vacancy Open to All Candidates Working Title Marketing Cloud Administrator Position Designation EHRA Non-Faculty Employment Type
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. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The University of Nevada, Reno seeks a Server and Cloud Administrator supports
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Cloud Architect, Windows Server Administration) certifications Previous experience teaching in Computer hardware and software courses, including PC maintenance and networking. A complete application needs
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Sign In Create Profile Cloud Engineer United States | req24547 Apply Now Share Save Job Posted on: 11/21/2025 Back to Search Cloud Engineer Posting Number req24547 Department Infrastructure Services
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Description The University of Alabama at Birmingham, IRCP-Biological Data Science Core (U-BDS) is seeking a Computational Biologist to join our team and contribute to cutting-edge research in transcriptomics
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for implementing and supporting cloud services across a variety of computing environments. Leads the deployment of highly available and fault-tolerant enterprise and web-scale software, as well as data center
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Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data