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Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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that the agent will learn from simulator data and expert knowledge, and will be designed to work collaboratively with trainees and instructors rather than replacing them. The AI agents will leverage LLMs
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Your Job: In this master thesis, a multi-agent-based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid
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Your Job: As part of this master`s thesis, the agent-based energy market simulation ASSUME should be expanded to include the local neighborhood. The goal is to further develop the existing
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. Enable agents to simulate and adapt to human responses in real-time collaborative scenarios, enhancing performance in environments like smart transport systems, dynamic crowd management and other IoT
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internationally leading and impactful research in agentic AI for chemical development in the Department of Informatics at King’s College London, in collaboration with other researchers from the University
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sécuriser durablement. Cette thèse vise à contribuer à la modélisation et à la simulation assistées par intelligence artificielle des processus, organisations et flux de données intervenant dans les activités
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Southwestern University of Finance and Economics | London, England | United Kingdom | about 18 hours ago
, communication, and control via simulations and prototypes. The successful candidate will be able to develop skills in the exciting and emerging field of 6G goal-oriented multi-agent networking. The role may
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- Mobile or maritime robotics, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human
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, communication, and control via simulations and prototypes. The successful candidate will be able to develop skills in the exciting and emerging field of 6G goal-oriented multi-agent networking. The role may