126 learning-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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, using a questioning attitude, considering hazards for every task,and never stop learning. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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, completeness, and adherence to internal and external standards The ability to learn quickly and adapt to change is necessary. The candidate is expected to be able to work in a team environment as well as perform
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. Proactive mentality with a commitment to continuous learning and improvement in the rapidly evolving HPC field. Special Requirements: Visa sponsorship: Visa sponsorship is not available for this position
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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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budgeting, tracking, forecasting. Capable of advanced Excel and SAP queries. Training and/or certification in project management. Ability to learn new software skills effectively (PowerBI, RESolution
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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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/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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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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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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, 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