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multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
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in analytical tools (e.g., MATLAB, Python, GIS, or similar). Knowledge of AI and Multi-Agent Systems. Proven ability to analyse complex information and summarise appropriately Ability to demonstrate
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, including Model Context Protocol (MCP) and Agentic Retrieval-Augmented Generation (Agentic RAG), can forge intelligent and adaptive immersive environments. The role You will investigate how AI can enable more
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