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California State University, Long Beach | Long Beach, California | United States | about 9 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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regarding how our salary and benefit offerings impact the overall compensation here at the University of Utah, please see our Total Compensation Calculator: https://www.hr.utah.edu/comp/totalcomp.php
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regarding how our salary and benefit offerings impact the overall compensation here at the University of Utah, please see our Total Compensation Calculator: https://www.hr.utah.edu/comp/totalcomp.php
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27 Feb 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 12 Mar 2026 - 23:59 (UTC
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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Position Information General Information Position Number 000166 Vacancy Open to All Candidates Working Title Program Specialist for Corporate Engagement Position Designation EHRA Non-Faculty
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
Position Information General Information Position Number 000166 Vacancy Open to All Candidates Working Title Program Specialist for Corporate Engagement Position Designation EHRA Non-Faculty
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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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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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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 24 days ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous