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Field
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making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming and computational research skills ability and interest in
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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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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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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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
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in