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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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of the Clinical Personalization Model and Multi-Agent Architecture. Platform deployment and maintenance. Where to apply E-mail [email protected] Requirements Research FieldEngineeringEducation LevelPhD
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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-generation Agentic AI platform for enterprise environments, capable of supporting autonomous, collaborative, and secure agents in managing complex, knowledge-intensive processes. The platform will integrate
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
workflows and measuring the trade-offs between privacy, utility, security and system performance. The expected outcome is a robust agentic framework that supports safe multi-agent interactions while
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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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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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://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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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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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