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, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by
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Computer Science, Software Engineering, Information Technology, or a related field. ● Minimum of 3 years of professional experience in web application development, scalable system architecture, or cloud-based
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Research Framework Programme? Other EU programme Reference Number 11/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications invited for the following
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by
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California State University, Long Beach | Long Beach, California | United States | about 19 hours ago
and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and autonomous systems, and/or cloud or edge system security. Degree at time of application
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About the Opportunity Job Summary Reporting to the Senior Director of the Family Philanthropy Program, the Program Manager (PM) will work closely with the Senior Director, the Associate Directors
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of USask’s on-premises data warehouse to Microsoft Fabric, a cloud-based business intelligence solution. Nature of Work: The Business Intelligence Intern will collaborate with the Reporting and Data Systems
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6 Mar 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 1 Apr 2026 - 21:59 (UTC
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, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge