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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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DoE funded Field Work Proposal Work with accelerator physics and engineering experts on online optimization of the NSLS-II accelerator complex Working with accelerator physics and engineering experts
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the expertise and facilities in specialized high technology areas essential for this work. Development of facilities is motivated by present Brookhaven research programs and anticipated future directions of
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expertise and technology are in place to advance our mission of bringing science solutions to the world. Reporting to the ITD Infrastructure and Operations Department Manager, the Senior IT Infrastructure
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)/machine learning (ML) applications in the power grid. * Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python
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, United States of America [map ] Subject Areas: Materials Science / Engineering , Advanced Energy Materials , Energy science , Materials by design , Mechanical Engineering Appl Deadline: (posted 2025/11/05, listed until
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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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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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Laboratory's (BNL) Facilities & Operation (F&O) Directorate is looking for a driven and dedicated Stationary Engineer to join our Energy & Utilities Division, the team that keeps the Lab running 24/7/365
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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