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. Data Science b. Modern Database design and development (SQL and/or NoSQL) c. Blockchain technologies d. Cloud Computing, Embedded Systems, Internet of Things or related technologies e. Machine Learning
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Master Positions Application Deadline 5 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications Three years Experience working in one or more of the following
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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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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 Rutgers
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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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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 3 months 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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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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’ post-secondary education or relevant work experience Advanced degree in computer science, data science, engineering, or a related field within AI/ML Additional/Desired Qualifications: 3+ years
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, orchestrate workflows, and handle orchestration via cloud/on-prem systems. Experience leading and coordinating successful integration delivery for transformation programs and major projects. Experience