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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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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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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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bridge the fields of Generative AI, Recommendation System, Labor Economics/Organizational Science, and Social Simulation Platform. The key focus areas of this project include: 1. Agentic Career
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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programming, large-scale optimization, and simulation-based optimization; and/or Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning
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year, with the possibility of renewal for a second year based on satisfactory progress as outlined in the scholar’s Individual Development Plan (IDP). The Computational Neuropsychology & Simulation (CNS
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the possibility of renewal for a second year based on satisfactory progress as outlined in the scholar’s Individual Development Plan (IDP). The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D
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with industry leaders (e.g., Teleperformance), we design simulation-based conversational training for customer service representatives and their supervisors. These environments help train staff in
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using gem5 simulator as the main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect