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scientific results Two or more years of experience with state-of-the-art machine learning methods such as reinforcement learning and Bayesian optimization Experience with operating microscopy platforms
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descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
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knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
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, and Laboratory Plan’s goals and objectives. Identify, develop, and sustain key relationships with program managers, end users, leadership, and other associated partners and stakeholders. Develop and
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experiments to neutron reflectometry studies. The main objectives are: (1) To implement fluorescence microscopy techniques and Flicker spectroscopy to studies of DIBs under electrical stimulation; (2) Use other
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Mechinical Systems Scopes of Work to meet Project Objectives and provide support to Project Teams as needed to achieve required results, Review Contractor Proposals (Achitectural Engineering and/or
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alignment with ORNL’s long-term strategic objectives for nuclear energy research and development. The successful candidate will play a central role in bridging fundamental and applied materials research
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, and bolstering national defense. The Software systems engineer will play an integral role in prototyping, demonstrating, and transitioning to production complex systems to meet these diverse objectives
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accelerator operations, maintenance periods, and scheduled outages. This position supports the SNS objective to achieve 5,000 hours of annual operation at 2 MW while enabling significantly shorter maintenance
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learning objectives and delivery requirements. Perform class setup/teardown as required. Manage exam banks and exams responsibly. Complete attendance documentation expeditiously and maintain training records