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and resource-adaptive VLA models . A central question is whether an embodied agent can estimate the reliability of its own perception and reasoning, then use that information to adjust how it
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and accident causation; develop dynamic models: apply approaches such as system dynamics modelling, agent-based modelling and discrete event simulation to represent and investigate complex transport
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simulation-based, lab-intensive, or capstone learning experiences Demonstrated ability or interest in teaching across disciplinary boundaries (e.g., applied AI and data science, or applied AI and a
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clinically characterized samples, and use the results to test and refine the lab’s theory of agency. The work will generate first-author papers and an agent-based research line the candidate can carry
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, including large-scale optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support
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, including large-scale optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support
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, including large-scale optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision
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instructional simulation environment. This position will develop technical specifications and system documentation; implement and test application components and workflows; support cloud-based development
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Luxembourg Institute of Science and Technology (LIST) | Esches, Picardie | France | about 22 hours ago
regulatory documents published across multiple languages, with emphasis on French and German variants of CSSF and ESMA guidance · Research agent-based simulation of NAV calculation steps
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desirable): Autonomous laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to