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algorithms such as PINN, SKINN. Building agentic economic world models that are incorporated with theory and knowledge structures and connecting them with reinforcement learning and generative modelling
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AI Automated materials science workflows, including tools such as atomate2 Agentic workflows for scientific campaigns, including harnesses for reasoning models As a member of the Terascale project
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(RL) training for large language model (LLM) agents. Prepare and submit conference papers. Co-supervise undergraduate and/or graduate students. Support teaching activities, including course preparation
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practical experience applying AI and/or NLP tools, such as conversational agents in research or applied contexts, alongside strong analytical skills. Candidates should have experience of designing and
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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) - spanning open-source models, LLM architecture, prompt design, and agentic AI frameworks - to help evaluate and advance responsible AI integration across the Agency. Project 3: Pilot and Proof-of-Concept
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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, living biological control agents have been deployed against agricultural pests for decades, creating landscapes in which pest populations have experienced contrasting histories of sustained selection. By