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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent RL for Autonomous Drone Swarm to develop learning-based
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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factors which affect bacteria-based factories cause millions of dollars in losses. Here, we propose the strategy to obtain antiphagents (antibacteriophage agents) that will be safe for bacteria and
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of Chicago Health System and Biological Sciences Division to co-design and implement simulation-based programs that promote clinical readiness, skill development, digital innovation, and research. Job Summary
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. Assisting in the research and implementation of AI agent-based approaches for automated ontology alignment and semantic integration across distributed systems. Participating in the design and validation
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will be based in the unique interdisciplinary and inclusive School of Engineering Mathematics and Technology. The post-holder will be expected to carry out research using scientific machine learning
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or departments based on business needs. Responsibilities • Provide courteous, timely, and solution-focused customer service. • Assist customers with locating merchandise, answering basic product questions, and
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familiarity with bioinformatics workflows for microbiome, genomic, or ARG data. Computational modeling & systems thinking Strong quantitative aptitude and interest in agent-based modeling, simulation, and