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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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Requirements staff to support the development, revision, and publishing of SBMS documents Engages with Laboratory-Level leaders in the development and implementation of management system processes and systems
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archives worldwide. In 2021, over one Exabyte of data was processed on-site. This data comes mainly from the many scientific user facilities that are supported at BNL, such as the unique nuclear physics
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for chemical plants or cryogenic process plants. Work scope will include upgrades and maintenance of the current central liquid helium processing plant and other cryogenic equipment, as well as the design and
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at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity
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at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity
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any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images
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of devices and circuit components - Contribute to design of ASIC within the scope of cryogenic operation Required knowledge, skills, and abilities: Requires a bachelor's degree in an engineering discipline or
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Develop a prototype neural network model for modeling strongly correlated materials. Implement and experiment with models using PyTorch and TensorFlow frameworks. Collaborate with team members to evaluate
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(deployment, monitoring, resource scheduling, etc.) and in defining the facility evolution to support massive data processing and computing needs. This position has a high level of interaction with