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operations of equipment, components and piping systems for chemical plants or cryogenic process plants (for example, LNG, Air Separation, or any other cryogenic processing plant): PhD plus 5+ years of related
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detection equipment to support sponsors in operation and research. In addition, the Group also works on artificial intelligence and machine learning to address questions related to detection and safeguards
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and temporal resolutions to understand structure-property relationship. Planned experiments with quantitative data analyses include, but not limited to, low temperature atomic imaging, high energy
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supporting the DOE Science mission. Required Knowledge, Skills, and Abilities: A PhD in physics or a related field. At least 10 years of experience with research in advanced technologies such as lasers and
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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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years post-PhD, in Physical Sciences, Applied Mathematics or related field. Ability to employ sound software engineering methodologies. Demonstrated record in collaborative software development
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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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associate position with a focus on natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in industry, education, and public
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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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must have received a Ph.D. by the commencement of employment. Initial 2-year term appointment subject to renewal contingent on performance and funding BNL policy requires that after obtaining a PhD