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industrial automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Computer Programmer/Analyst who will
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pertains to nuclear fuel cycle. Demonstrated experience in Python, MATLAB, R, or similar. Demonstrated experience with applying techniques to introduce uncertainty quantification to machine learning
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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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. 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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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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innovation leader and providing tangible benefits to Tennessee. Major Duties/Responsibilities: Develop AI-enhanced sustainable manufacturing solutions by integrating machine learning, visual inspection such as
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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
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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