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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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) Minimum of 7 years of clinical experience Within 90 days acquire Advanced Cardiac Life Support and Advanced Trauma Life Support Training with passing scores Maintain all appropriate certifications, CME
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scientific domain and knowledge of high performance and quantum computing and scalable data analytics and/or deep learning Preferred Qualifications: Qualified candidates should have demonstrated management
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to continuous learning, innovation, and engineering excellence in a rapidly evolving HPC landscape. Special Requirements: Sensitive Access: Eligibility for access to Sensitive or Special Access Program
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/applications deployed. Able/willing to learn new technologies/techniques to meet programmatic requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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informed of class logistics. Use the Learning Management System (LMS) for monitoring registrations, determining class assignments, setting delivery schedules, printing rosters, and verifying training records
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Security, Credentialing, and Eligibility Requirements: Export
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ability to learn quickly and adapt to rapid changes. Excellent interpersonal and verbal and written communication skills. Ability to apply critical thinking and analytical skills, which includes analyzing