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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia. The Program includes: admission to a university PhD...
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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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prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Future 6G infrastructures will involve multiple specialized AI agents that manage radio
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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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prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Future 6G infrastructures will involve multiple specialized AI agents that manage radio
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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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of up to 500 ppm of NO, CO, and H2S could occur in the gas mixture and should be detected. Some applications may require the use of gaseous anaesthetic agents such as isoflurane and desflurane. This also
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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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: 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