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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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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 Rutgers, The State University of New Jersey
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 14 days ago
: 495146 Application Instructions: Apply via Interfolio at: https://apply.interfolio.com/178333 Department: College of Engineering and Information Technology Computer Science and Electrical Engineering or
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on-device AI to ensure low latency, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 17 hours ago
Information Technology & Management (MSITM) program or its stackable certificates in Cyber Security, Business Analytics, Generative AI, Cloud Computing & Security Analytics, or Supply Chain Management. The ISSCM
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments
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application integration (middle tier) and data architecture. Microsoft SQL Server. SQL programming. SSIS. Database high availability processes. Cloud hosted database technologies. Mahi Ngātahi | Who You Will
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These efforts aim to enable future ultra-low-latency applications (e.g., cloud gaming, latency-critical workloads) and contribute to next-generation Internet design. Qualifications PhD in Computer
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Clarity/Caboodle) and cloud storage. Build and host production-grade web portals and REST APIs for secure researcher/clinician access supporting role-based permissions and audit trails. Leverage OpenAI LLMs
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, to align with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom