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: · Computational Text Analysis & NLP in Communication · Network Science & Digital-Trace Communication Data · Algorithmic & Machine Learning Approaches · Human-AI & Algorithmic Interaction · Emerging Computational
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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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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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hold a PhD), along with a cover letter identifying and evidencing your experience with as many of the following areas as possible: R, Python, and C++ AI (LLMs, NLP, and ML) or other quantitative
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research methods, such as advanced natural language processing (NLP) and text mining (AI content analysis), digital ethnography, online social network analysis, AI content generation, social media analytics
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publications in the field of NLP, experimental, computational and/or mathematical linguistics, involvement in research projects / eventually independent project work. Other Participation in ensuring operational
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adversarial evaluation. Expected outcomes include new algorithms for reliable adaptation, evaluation frameworks, open-source tools, and publications at leading ML/NLP venues. Supervisor Bio Dr Cass Zhixue Zhao
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ecosystems. We seek an outstanding researcher who already has a demonstrated record of publishing rigorous work in leading AI, NLP, Web, computational-social-science, human-computer-interaction, or
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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 | 21 days 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