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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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management, and other needs for DOE, DOW, and DHS sponsors. This is an early-career position intended for a candidate who will work alongside and learn from experienced staff while independently executing
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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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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learning Basic Qualifications: A HS diploma or GED A minimum of two years of commercial/industrial or sanitation janitorial experience or an equivalent combination of education and experience Preferred
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. Demonstrate proficiency in MS Word, MS Outlook, MS Excel, and PowerPoint. Must have ability to learn quickly and adapt to rapid changes. Excellent interpersonal and verbal and written communication skills
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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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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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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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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