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such as Section 508 or WCAG. Experience with Agile development methodologies. Demonstrated ability to quickly learn and adapt to new applications, technologies, tools, and platforms as business needs
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integrating human-in-the-loop reinforcement learning approaches. Responsible AI: Exploration of privacy-preserving AI techniques, enhancing AI safety, and addressing vulnerabilities and defenses in Large
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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ability and willingness to acquire new knowledge and learn new skills. Ability to proactively work independently and as a member of a team. Excellent interpersonal skills, outstanding written and oral
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Engineering, or other field relevant to the job duties. Competency in Python and C++ programming. A commitment to lifelong learning. Minimum of 5 years of experience relevant to the job duties listed Preferred
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collaboration and coordination across instructor-led training (ILT), computer-based training (CBT), blended learning, qualification, and workforce development programs to promote consistency, alignment, and
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collaborate with other groups and divisions to support multidisciplinary R&D activities while learning established ORNL policies, procedures, safety practices, and work methods. Deliver ORNL mission outcomes by
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-impact problems and to shape the future of intelligent manufacturing. Major Duties/Responsibilities: Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Export control, no clearance: This position requires access