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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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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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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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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
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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