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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41047 Job Number SE235524 Position Information Department or Unit Name IRES Position
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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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interests in biomedical NLP and medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and real-world applications in biomedicine and healthcare. Please visit https
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high-level information extraction systems by conducting full fine tuning, fine tuning, LoRA tuning w.r.t. material knowledge against LLMs. Research results should be disseminated to international
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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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details of the grant can be found here: https://www.ssrc.edu.sg/projects/thematic-grant/lorenz2025/ ) (BIZ) Under Dr Lee Kwok Hao’s startup grant, the co-PI(s) plan to examine emerging issues
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Job related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs
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degradation, which require collaborative cross-border approaches. This Post-doctoral Research Fellow Level 1 post is funded by the Climate+ Co-Centre (https://www.climatecocentre.org/ ). The successful
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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, Computer Science, Communication, Media Management, Business, Digital Media, or a closely related field (a doctoral degree is preferred). Demonstrable hands-on experience with generative AI/LLMs, AI agent development