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Field
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Intelligence, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development
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Summary: CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing
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, phenotype/EHR and multi-omic datasets using secure cloud and high-performance computing environments, including Hail/VDS-based workflows when appropriate. Conduct statistical genetics and genetic
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various scientific libraries and codes for HPC systems. Experience in conducting research using HPC and cloud computing resources for modeling and simulation. Extensive experience in writing proposals
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Genesis Mission, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for
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homomorphic communication protocols for cloud quantum computing. Fault-tolerant cloud quantum computing equipped with secure quantum communication. Use of AI with reinforcement learning to improve the
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added advantage Experience in Virtualisation Environments such as Docker, VMWare Desktop, VirtualBox, RealVNC, Google. Experience in Cloud Computing Platforms such as AWS Lambda, Oracle Cloud, IBM Watson
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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