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artificial intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems group as part of the Hybrid Intelligence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Qualifications, Competencies, and Experience * Demonstrated experience with Agentic AI, multi-agent systems, large language models (LLMs), Computer Vision and and Deep Learning architectures (CNNs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Qualifications, Competencies, and Experience * Demonstrated experience with Agentic AI, multi-agent systems, large language models (LLMs), Computer Vision and and Deep Learning architectures (CNNs
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) and agent frameworks Experience building agentic systems with tool use, multi-step reasoning, and orchestration Experience developing APIs that expose LLM capabilities as services (REST/GraphQL
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machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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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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will help build a Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and
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under Uncertainty - Decision-making under uncertainty - Decentralized planning and coordination for multi-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty
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multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers
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project is embedded in a multi-institution research agenda addressing competition in digital markets, with a focus on algorithmic pricing, consumer decision-support systems, and transparency issues