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Field
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-tuning of large language models (LLMs) would be an advantage. The closing date for applications is 12.00 midday on 4th March 2026 and only applications received by this date will be considered
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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LLM agents, reinforcement learning, multi-agent systems); and excellent communication and collaboration skills with a commitment to an inclusive, respectful research environment. Informal enquiries may
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. CLAIM advances the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate climate mitigation while safeguarding integrity in climate commitments
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how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large
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relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create
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eventually be able to pursue independent grant funding, in one of three areas: (1) use of LLMs and incorporation of artificial intelligence into inequality research, (2) the study of policy strategies