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, Cloud Engineering to support the delivery of key Information and Communications Technology program (ICT) initiatives that help shape the future of education, research, and innovation. Why join the
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research, education, and services in data science, AI, and biomedical computation. We invite applications for a Research Asisstant (Cloud Infrastructure Engineer) role in CBDS. The successful candidate will
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The team is in charge of Compute and Data Infrastructure for clinical and research analytics use cases, which include High-Performance Computing (HPC), Artificial Intelligence, (AI), Machine
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practices, and high-performance computing (HPC) environments using cloud based technologies such as Azure, AWS and Databricks. Internship Objectives By the end of the program, interns will: Contribute
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closely related field. Preferred - Master’s degree or advanced coursework in databases, cloud computing, systems, or information security. 3–5 years of database administration experience and 3–5 years
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) Established Researcher (R3) Application Deadline 27 Apr 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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University of California, Los Angeles | Los Angeles, California | United States | about 11 hours ago
pipelines, feature platforms, MLOps practices, and high-performance computing (HPC) environments using cloud based technologies such as Azure, AWS and Databricks. Internship Objectives By the end
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University of California, Los Angeles | Los Angeles, California | United States | about 11 hours ago
AI lifecycle, including data engineering pipelines, feature platforms, MLOps practices, and high‑performance computing (HPC) environments using cloud‑based technologies such as Azure, AWS and
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our AI agents and data-driven workflows — from API integration to cloud architecture and data lake management. We’re building our Enterprise Intelligence Hub and creating AI agents that automate
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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to