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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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skills, we encourage you to apply. This role primarily focuses on the development of Thematic Analysis tools and Machine Learning models (leveraging LLMs and transformers): Conduct rigorous experimentation
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degree (JD, LLM, SJD) will not be considered. We seek an individual committed to excellence in both scholarship and teaching at the undergraduate and graduate levels. The teaching load is two courses per
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, or research artifacts. References [1] G. Sanmartino, M. Urban, P. Papotti, and C. Binnig. The Stretto Execution Engine for LLM-Augmented Data Systems . 2026. https://arxiv.org/abs/2602.04430 [2] D. Satriani, E
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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coaching and feedback and travel approval. Research methods for leveraging past and current reports using AI (e.g., LLMs) to enhance discoverability of technical information. Create and maintain production
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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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an Agentic AI system based on Large Language Models (LLM) and Vision Language Models (VLM) for providing personalized training programs in the field of Occupational Health and Safety (OHS) within industrial
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trustworthy AI systems, SOFAIR will extend the UK‑LLM initiative, stimulate innovation and spin‑outs, and position the UK at the centre of global efforts to shape the future of open AI. Research Fellow
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personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits ) for additional information regarding UNE’s fantastic benefits package