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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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integrating these results into the ISAAC multimodal data ecosystem to support autonomous scientific discovery. The postdoctoral researcher will contribute to the development of AI-ready data pipelines and
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autonomous experimental campaigns, this position is suited for a highly energetic and self-driven researcher willing to work in highly collaborative teams. This position will involve a considerable amount of
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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, performance, and reliability for scientific applications. Develop and deploy autonomous LLM agents capable of reasoning, planning, and decision-making to support complex scientific workflows. Implement
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electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities Develop and deploy ML algorithms for autonomous operations and optimization
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resources—including the Autonomous Sputter Beam Epitaxy system, the QuEEN-M electron microscopy platform, and synchrotron X-ray beamlines at the Advanced Photon Source. This is an outstanding opportunity