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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and
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Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years. Preferred
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simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for
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and simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for
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areas: Mobile App Development Computer Systems Cloud Computing ( specifically with knowledge of AWS ) Salary is competitive and additional teaching opportunities are available. For more
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simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for
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visualization resources into cohesive, end-to-end systems. The WES Group sits within the Advanced Technologies section of the National Center for Computational Sciences (NCCS), a division of the Computing
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, optimize, and support AI/ML pipelines on HPC and GPU-accelerated systems. Optimize large-scale training and inference workflows using distributed computing frameworks and performance analysis tools
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Engagement: Effectively communicate vision, strategy, and progress to DOE sponsors, industrial partners, and international collaborators. Basic Qualifications: PhD in Computer Science, Computer
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-to-end systems. The WES Group sits within the Advanced Technologies section of the National Center for Computational Sciences (NCCS), a division of the Computing and Computational Sciences