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., AI for Science. This position provides access to world-class computing and data resources, such as Brookhaven Lab’s Institutional Cluster and DOE leadership computing facilities. These platforms afford
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engineering teams to evaluate energy deposition, power losses, total ionizing dose, and other radiation-relevant quantities across the Electron Storage Ring (ESR), Hadron Storage Ring (HSR), and Rapid Cycling
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risk experiments (highly toxic, energetics, radioactive, biological, etc.) Manage the logistics associated with bringing high-risk experiments to the beamlines and assist with development of sample
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administrative, secretarial experience PeopleSoft experience highly desirable Experience arranging complex travel AAS in secretarial science or equivalent Other Information: This position is 100% on-site
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adaptation, prompt engineering and benchmarking, pipeline and external resource integration (e.g., retrieval augmented generation, RAG), and various downstream analysis tasks. The position combines data
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concept through computer aided analysis, detailed 3D modeling and design, and system interface efforts. Deliver all phases of the project work – design, engineering analysis, R&D, procurement and
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deliverables. Set goals for, evaluate and address staff performance. Assist in the development of business or science programs according to organization’s plans. Serve as a key advocate for the development and
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Apply Now Job ID JR101446Date posted 09/26/2024 The AI/ML Department of Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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, collaboration, and respect for all. The engineer will split their time to support work planning and safety paperwork. Required Knowledge, Skills, and Abilities: BS in Electrical Engineering or related field