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experiments—accelerating molecule discovery. Position Summary We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems
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. Most of our research focuses on social dilemmas, i.e., situations where poor group outcomes arise from optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social
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science and logic-based artificial intelligence: after all, any intelligent agent must be able to reason with more than just and-gates, not-gates and or-gates! For example, we now have non-classical
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motivated, experienced and enthusiastic Research & Development (R&D) Engineer with expertise in ML&AI. The R&D Engineer is expected to work as part of a multi-disciplinary team and contribute to the
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based on real-time environmental changes. In this project, the system will be built as Multi-agent Systems (MAS) to represent real-world characteristics, such as autonomy at the vehicle level and
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design, build, evaluate, and govern agentic AI systems for digital communication and media. Students learn foundational concepts in generative AI and agent architectures and develop working agents
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, multi-agent systems, or embodied AI, is an advantage. Applicants are not expected to have expertise in all these areas. What We Offer • A collaborative and innovative research environment • A vibrant
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Position Description We are inviting applications for faculty positions at the ranks of Professor, Associate Professor, and Assistant Professor in, but not limited to, the following areas: •Multi
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep