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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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facilitated by preliminary results and should lead to ground-breaking results both in synthetic chemistry and in the development of new therapeutic agents. The project aims to develop novel rotaxanes
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resilience for Cyber-Physical Systems (CPS). The 10 Doctoral Candidates (DC) will collaborate on modeling threat actors, developing scalable AI-based monitoring and control systems, and designing strategies
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate climate mitigation while safeguarding integrity in climate commitments. This Research
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies
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initiatives, committees and task forces, based on expertise or experience, as assigned. Develops and maintains subject matter expertise in one or more substantive areas of law that routinely or materially
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facilitation, discussions, and UNIV class instruction. Career Readiness Competencies: Seek feedback from supervisors and apply it to improve performance. Adjust tone and approach based on audience (e.g., peers
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PEDS-NEONATOLOGY Full Time 88156BR Job Summary The overall goal of the research project is to aid in the development and application of novel agents to alleviate the burden of congenital heart
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develop a framework based on collaborative AI concept, e.g., Agentic AI or other collaborative Large Language Models (LLMs), that synthesizes actionable intelligence from distributed, heterogeneous data