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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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foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones
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and imaging x-ray tools, supported by computational resources for high-throughput analysis and modeling. The program’s scientific focus is to understand and optimize the structural and chemical features
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organizers based on responses. Responsible for developing and tracking budgets for all events hosted by NSLS-II and LBMS. Responsible for tracking receipts, managing payments, and preparing close out
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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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, processing or environmental conditions relevant to diverse areas such as energy, health, microelectronics, geology, environment and planetary sciences. Using various electron and photon-based spectroscopic
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, Skills, and Abilities: • PhD. in Physics, Chemistry, Materials Science, or other relevant fields with minimum 6 years’ experience in synchrotron-based research with significant experience using x-ray
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, property, and safety programs and initiatives. Attend staff, operations, and project-based meetings and assist the DDST with follow-up communications and actions. Independently lead and manage complex
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to include every duty, task or instruction for which an employee is responsible. Other tasks may be assigned, based on business needs and the department supervisor’s request. Required Knowledge, Skills, and