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capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
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backscatter diffraction, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral
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, Physics, or a related field. Strong expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with
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) energy innovation hub. ESRA is a $12.5M/year R&D center focused on fundamental and use-inspired research to invent next-generation battery materials and chemistries. By laying the scientific groundwork
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environment that brings together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for
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and the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter
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and the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter
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-class experimental and computational capabilities, including the Advanced Photon Source (APS), the Center for Nanoscale Materials (CNM), the Argonne Leadership Computing Facility (ALCF), and AI
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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The Nanoscience and Technology Division at Argonne National Laboratory invites applications for an Assistant Scientist (RD2) position in the Nanofabrication and Devices Group within the Center for