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, United States of America [map ] Subject Areas: Computer Science / AI/ML/DL Theory , Applied Math/Optimization , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine Learning
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collaborations in materials optimization, device fabrication, and testing. Required Knowledge, Skills, and Abilities: You earned a Ph.D. in an appropriate discipline (Physics, Chemistry, Materials Science, or
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to keep the plant operating at optimal efficiency. Perform daily chemical test analysis of all operating systems such as boilers, water softeners, feedwater, and condensate systems. Perform daily, weekly
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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device performance to guide the development of transition metal silicide quantum architectures; You will explore novel superconducting qubit and resonator designs optimized for scalability and modular
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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computing, machine learning and/or quantum computing methodologies for scientific applications Experienced in scientific computing research, including the development, optimization and implementation of numerical
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with Energy Management and direct operators to optimize hourly chilled water facility energy and cost performance. Coordinate with General Mechanical Supervisor and Energy Manager to support planning