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that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning
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computing, clusters, artificial intelligence, quantum, and other advanced computing resources. Compile and debug large science and engineering applications. Identify and resolve system-level bugs in
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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management and data intelligence, with a focus on researching and developing advanced data-management technologies, metadata informatics, and scalable solutions to support large-scale environmental data
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy
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at ORNL. Research activities will include the design of efficient data preprocessing workflows, transforming level-1b large volumes of high-resolution satellite imagery, deployment feature extraction and
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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supercomputer for its dense GPU-based HPC resources to deploy models and create large-scale production datasets for high-impact sponsor missions. The candidate will be expected to handle sponsor requirements and
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technical assistance support for industrial sites, and other large energy users, installing electricity and thermal energy generation and storage technologies at their facilities. The MEERA Group actively