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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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implement the retention and filing of electronic and manual records/documents. Process all required documentation for Internal Departmental Equipment Transfers. Process retirement reports for vehicle
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tools, including polarization and resonant extraction. Duties involve the adaptation of modern Machine Learning techniques to accelerator modeling and operation. Duties will include preparing, performing
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facility-related concerns and provide immediate assistance, administering and optimizing the Computerized Maintenance Management System (CMMS) for streamlined work order processing, asset management, and
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the large language models, and multi-modal Foundation Models; ML models for computer vision (CV) and natural language processing (NLP) related tasks; and techniques applied to the scientific discovery, i.e
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techniques, researchers can study materials and complex chemical processes under different environmental and operating conditions. This offers a powerful capability to correlate chemical and electronic
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the engineering and/or operations of equipment and piping systems for chemical plants or cryogenic process plants. Work scope will include upgrades and maintenance of the current central liquid helium processing
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performance, timecards, attendance monitoring, staff recruitment/hiring, budget, and expense approvals Preparation, process engagement, and completion of all Property Audits and Assessments Provide updates and
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critical to facility operation. This position will require close interaction with technicians and engineers. Tasking will also include provision of technical support for development and special projects
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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