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Process Automation Lead and has no direct reports. Specific accountabilities for this role include: Provide strategic guidance on the design, development and adoption of AI, agentic automation and digital
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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for academic systems, administrative systems, and research computing. The Computing and Storage team designs, implements, and operates enterprise-level virtual and physical servers, as well as data
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or governing enterprise research platforms such as Qualtrics. Familiarity with cloud infrastructure, research computing environments, or AI-enabled research tools. This position is designated as essential. Under
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managing Data Loss Prevention (DLP) solutions like Microsoft Purview across cloud and on-premises environments, with a proven ability to lead DLP adoption by collaborating with business and technology teams
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buildings closed days (and Christmas Eve when it falls on a weekday).. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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adoption of AI development tools. Qualifications Core Requirements 5-10+ years software engineering with strong enterprise web application delivery Degree in Computer Science or equivalent practical
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principles and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you