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life – including the explosion of large language model (LLM) releases. BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications and uses
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sciences, and nanoscience. To support this program, the NSLS-II must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport, transfer, accelerate and focus
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design of magnet system elements including interfaces. Applicants should be highly motivated to work in a cross-disciplinary environment on R&D and engineering activities related to magnet design and
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a focus on natural language processing (NLP). BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications and uses these applications to inform new
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose
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withpractical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2. Experience creating and checking detailed mechanical
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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially
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associate position with a focus on national security applications of natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in