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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems
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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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disciplines, namely Mathematics, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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Initiative’s mission, potentially including studies on political dimensions of risk frameworks, economic subsystem coupling, and multi-level agent interactions. The successful candidate will participate in
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University of Arizona working in the area of reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence. We invite qualified candidates to join our group and participate in
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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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mechanisms for grid-edge device federations participating in local and national flexibility markets. This will bring together research on power systems modelling, multi-agent control, machine learning and
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is fixed-term to the 30th September 2026. We are looking for great machine learning researchers to join one of three on going areas in the Torr Vision Group. The first is on foundational work on agents
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. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http