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Surgery, please visit: https://med.umn.edu/ortho . About the Medical School: Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates
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, and maintain secure, scalable, and high-performance AI solutions across cloud and hybrid computing environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). 3
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to support emerging needs including AI/ML workloads and hybrid cloud architectures. If you are a skilled infrastructure engineer with a passion for problem-solving, security, and innovation you could be
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, or MySQL. • Experience deploying and supporting software in a cloud environment such as AWS, Google Cloud Platform, or Microsoft Azure. • Demonstrated experience in gathering stakeholder needs and adjusting
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41131 Job Number SE238924 Position Information Department or Unit Name College
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/Professional Professional Department Information Technology Exchange Center Local Title Cloud Architect Analyst Team Lead Budget Title Supervising Programmer/Analyst Rank SL-5 Line Number TBD, 50159 Salary Range
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solutions with a focus on vulnerability remediation of cloud resources, servers, and workstations. Possess a broad range of technical skills and experience with enterprise-class services. Works with a team of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
APIs including OpenAI, Anthropic, Google, and open-source alternatives Working knowledge of cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes) Experience with web application
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FAIR cloud platforms for real-time genomic data exchange Create interactive dashboards showing genomic trends, variant emergence and geographical spread Translate genomic findings into public-health
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), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments, with knowledge