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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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of London. The successful candidate will work on Agentic Artificial Intelligence—the next generation of AI systems capable of reasoning, autonomous decision-making, task orchestration, and multi-agent
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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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selection criteria Experience with agentic AI systems, LLM-based agents, tool use, planning, or multi-agent systems. Knowledge of trustworthy AI topics such as interpretability, explainability, uncertainty
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imposes demands on the chemical compatibility of the materials used. In multi-infusion systems, the flow meters need to measure the amount of liquid pharmaceuticals as well as multiparameter measurements
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-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty - Unified situational awareness for multi-robot systems in large and degraded environments Qualifications
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in supporting modeling; multi-agent systems Technical skills: coding and multi-agent modeling (required), proficiency in CORMAS or an equivalent platform (NetLogo, GAMA, etc.). Programming (Smalltalk
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: Advancing 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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-planning b. Autonomous Inspection Planning - Semantic-aware Path Planning - Multi-robot systems in large and degraded environments Qualifications To be qualified for the position, you must have an MSc degree
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: Advancing 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