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areas including: Quantum information sciences, Artificial intelligence and machine learning, Biotechnology, High-performance computing, Semiconductors, and Advanced materials and manufacturing. Generate
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experts and practitioners, and software engineers carrying out applied research and development in developing scalable machine learning-based platforms that enable domain experts to more effectively draw
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objectives Develop secure area assessment schedules and facility certification plans Conduct annual secure area assessments, auditing, and testing, incorporating lessons learned into plan updates Ensure
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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. Proficiency with ROS, Python, and MATALB, as well as with corresponding AI/machine learning libraries. Experience designing and assembling hardware and software systems for building construction applications
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science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12) years of aligned professional experience
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related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application
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the Emergency Management Response Organization. Supports professional staff as a technician independently performing a range of routine tasks on short and long term projects. Able to learn and apply standard
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changing needs. Strong, proven publication record. Self-motivated. Preferred Qualifications: At least 2 years of relevant work experience. Proficiency with C++, Python, AI, machine learning. Experience
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale