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projects and troubleshooting complex system issues and access problems. Ability to set priorities, learn new skills, and prioritize continuing professional development. Commitment to strong service values
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, organizational engagement, learning experience coordination, and cross-functional collaboration. The role will work closely with the HR Business Partners, managers, Office of General Counsel, Employee Concerns
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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hazards for every task, and never stop learning. Delivering ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
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requirements and coordinate implementation across multiple organizations. Manage training assignments using ORNL's learning management system (LMS); track completion and assess training/qualification status
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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or PhD in Computer Science, Computer Engineering, Cybersecurity. Experience architecting and implementing complex distributed systems and willingness to learn Experience in cluster computing and scaling
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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2 years of experience. Experience architecting and implementing complex distributed systems and willingness to learn
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for FEMP. Support technical training at workshops, conferences, and virtual events. Assist with customized training development and delivery. Serve as a power user for learning management systems to support