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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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The Computational Approaches to Modeling Language (CAMeL) Lab at New York University Abu Dhabi invites applications for a Research Scientist / Scholar position in natural language processing (NLP
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Job related to staff position within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP
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Research Associate An exciting opportunity has arisen to join the Cardiff NLP group at the School of Computer Science and Informatics. The Cardiff NLP group works on different areas of Natural
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multilingual studies, and philosophy. For more details, please visit https://www.ntu.edu.sg/soh. We are looking for a full-time Research Assistant with a background in Natural Language Processing (NLP
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We are seeking a highly motivated Research Associate in NLP, Mechanistic Interpretability and Trustworthy Generative AI. This role offers an exciting opportunity to contribute to AIRIS: Mechanism
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for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and life sciences. RESPONSIBILITIES Reporting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
structured output generation) Experience with natural language processing utilizing traditional data science approaches (word2Vec, NLTK, Spark NLP, etc.) and/or NLP utilizing large language models High level
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context