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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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digital presence, including website, social media, search, and email content, building brand awareness and supporting enrollment marketing across the school's program portfolio. This role develops audience
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, using Salesforce Marketing Cloud. The role includes pulling and interpreting platform reports, proofreading and editing donor and alumni facing copy, reviewing and testing communications prior to send
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environments, containers, and hybrid cloud architectures. Implement new technical capabilities including AI/ML support, HPC, bioinformatics, imaging and genomics pipelines, and scalable storage/compute solutions
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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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the field of cloud computing Skills Required: Azure, AWS, and GCP certifications preferred. Experience with tools such as Terraform, CloudFormation Ability to: interact with a variety of customers in a
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financially sustainable cloud consumption. Provide clear visibility and insight into cloud spend across compute, storage, applications and broader cloud services. Develop and enforce cost allocation models
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for establishing a long-term vision for administrative applications, guiding modernization initiatives, and overseeing the successful transition from legacy systems to cloud-based platforms while maintaining
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incentive bonuses tied to institutional and individual performance goals. EDUCATION: Bachelor's degree in Computer Science, Information Technology, Business, or a related field is required. Master's degree
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 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