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located at 1100 South Marietta Parkway, Marietta, GA 30060. Job Summary Designs and automates Kennesaw State University's Azure-focused hybrid and multi-cloud infrastructure platforms, with exposure to AWS
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people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it
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automated and manual procedures, verifies and reports test requests and results. Manages phone inquiries regarding patient results, specimen collection and testing frequency. RRL staff uses the laboratory
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located at 1100 South Marietta Parkway, Marietta, GA 30060. Job Summary Provides advanced technical expertise in designing, developing, and managing enterprise automation solutions. Leads initiatives
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effective AI tool usage AI for business productivity (writing, data analysis, communication) AI tools such as chat-based assistants, image generation, and automation tools Integrate widely used AI platforms
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Posting Summary Logo Posting Number STA00135PO26 Job Family Information Technology Job Function IT Infrastructure Planning USC Market Title IT Infrastructure Engineer Link to USC Market Title https
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 10 days ago
responsible for the configuration, installation, removal, programming and maintenance of Heating, Ventilation and Air Conditioning (HVAC) Controls/Automations Systems on the University Campus. Key
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campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is
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GCP. You'll support day-to-day cloud operations, primarily AWS, using Terraform/CloudFormation and GitHub workflows, while gaining strong opportunities to learn and grow your multi-cloud and automation
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simulations); developing and maintaining tools for data processing, visualisation of results and automation of computational experiments; optimising code performance and supporting the integration of models