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The Project Controls Software Analyst will be responsible for managing and maintaining integrations between Trimble Unity Construct (cloud based enterprise-wide Project Management Information System) Workday
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skills and knowledge in the discipline areas of Cyber Security and/or Cloud Computing. You bring current industry expertise, such as network security frameworks (e.g., CCNA Network Security) or cloud
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highly beneficial. Skills & Experience Strong experience in a hands-on development capacity, on cloud applications with 5+ years' experience designing, implementing and supporting Salesforce solutions
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St. Cloud Technical & Community College | Saint Cloud, Minnesota | United States | about 1 month ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Feb-26 Location: St. Cloud, Minnesota Categories: Academic/Faculty Academic/Faculty Affairs Internal Number
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Microsoft Power Automate, PowerApps, Excel VBA, and cloud data prep platforms. Strong problem-solving skills, communication skills, and the ability to work independently and collaboratively. Equal Employment
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edge and cloud environments. The successful candidate will work at the intersection of computer vision, edge AI deployment, mobile imaging systems, and global health field implementation. The role
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systems to emerging AI tools -- affects physician decision-making, and to develop new measures of provider productivity. The work involves large-scale EHR data in cloud environments (Google Cloud Platform
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shaping the future. https://nusit.nus.edu.sg/ Job Purpose The candidate will primarily be responsible for delivering IT projects related to prospective students, current students, lifelong learners, alumni
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-defined networking (SDN) solutions to enhance network scalability and programmability. Implement cloud-native networking solutions, including AWS, Azure, or Google Cloud networking tools. Configure and
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Responsibilities The selected candidate will contribute to advanced research and development tasks, including: Design and deployment of Edge-Cloud infrastructures for distributed AI systems ensuring low-latency