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research environments, regulated data, cloud-based research services, or data-intensive computing. 5. Experience with disaster recovery, service management, site-reliability practices, or technical
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them effectively utilize RCC, national computing facilities, and cloud resources. Contribute technical expertise to grant proposals and collaborative research initiatives. Stay informed on emerging AI
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healthcare and research use cases; develop and operate across cloud-based platforms (e.g., Azure, AWS), Data Engineering Platforms (e.g. Databricks, Fabric), and high-performance computing (HPC) or
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healthcare and research use cases; develop and operate across cloud-based platforms (e.g., Azure, AWS), Data Engineering Platforms (e.g. Databricks, Fabric), and high-performance computing (HPC) or
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Integrate software solutions with existing research computing infrastructure, including high-performance computing (HPC) systems and cloud platforms Collaborate with systems engineers and researchers
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higheredjobs | 25 days ago
networks, cloud computing, and AI/ML technologies. Equally important is an inclusive and innovative outlook, towards lowering the barriers to gaining proficiency in advanced computing technologies and
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development with a strong focus on database infrastructure and cloud computing. Technical Skills: Proficiency in database management systems (e.g., PostgreSQL, NoSQL). Experience with cloud platforms
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-Fi, LTE, etc.). Experience in 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
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enclave-based network architectures Experience in higher education, research computing, healthcare, or government adjacent environments Experience working within or supporting regulated cloud
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theoretical possibility, but may become a real threat in coming years due to significant advances in quantum computing technology. This project investigates the design, analysis and efficient implementation