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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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of cell factory engineering. Develop software tools that enable programmatic interaction between large language model agents and metabolic models, enabling automated simulation, interpretation, and
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human-robot interaction. Technical
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quantitative and qualitative research to develop empirically supported game-theoretic and agent-based models Apply econometric and model simulation methods to analyze governance mechanisms and to study the
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are used to enable systematic comparisons between alternative strategies in simulated environments. The project also studies simulation agents operating within these models, including both policy-based
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are they talking about, what do they want, need, and value? What are they concerned about? What AI techniques and intelligent agents can we develop to work supportively and/or unobtrusively along with them
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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified
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polarisation extraction from simulations. The researcher will use standalone simulation and develop the studies to provide systematics and detailed studies of many potential limiations. Simulation of background