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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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frameworks. Such high-level negotiation protocols can be pre-defined or learnt, yet they also need to capture flexibility in exchanging information or giving instructions for modelling modern multi-agent
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opportunity to work at the intersection of: Large Language Models (LLMs) AI Agents Multi-agent systems Blockchain and Web3 Decentralized Finance (DeFi) AI security and trustworthy AI
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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research mission that focuses on basic, clinical, and translational research on the lung, microbiome, COVID-19, sleep medicine, and allergy and immunology. The Benam Lab (https://www.benamlab.net
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Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows. Responsibilities
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://www.academictransfer.com/en/jobs/364505/phd-position-agentic-ai-for-res… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364505/ Work Location(s) Number of offers
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A 3-year postdoc position in 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
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experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in LLMs and agentic tools (MCP, LangChain, etc), the project will design
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focus on data interoperability and on the integration of AI models, multi-agent systems, and intelligent workflows deployed across the Edge–Cloud–HPC Continuum. The research activities will also address