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antigenic evolution and design effective antibody, developing interpretable multimodal AI frameworks linking sequence, structure, and function, and designing autonomous AI agents for automated experimentation
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realize fully capable mobile agents and collaborative autonomous agents. RISC is an integral member of the Center for AI and Robotics (CAIR). CAIR has significant work in localization for autonomous agents
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Intelligence/Computing Natural Language Processing AI for Science and Innovative Applications of AI Autonomous Agent and Multi-Agent Learning Complex Systems Modeling, Control, and Decision Making Computational
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implement pioneering agentic AI workflows for autonomous materials characterization. We are building the next generation of AI-powered laboratories, where intelligent agents can formulate hypotheses, run
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discovery, or scientific knowledge extraction. Experience building or studying autonomous or semi-autonomous coding agents. Experience designing or implementing automated experimentation or simulation-based
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Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at the Section for Autonomous Systems
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designing and deploying machine learning, GenAI, or LLM-based solutions. Practical experience building AI agents, including agentic workflows, autonomous decision-making pipelines, and tool-augmented agents
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where