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information science and light–matter engineering, while engaging with CNM’s cleanroom and characterization capabilities, APS ultrafast and nanoprobe X-ray beamlines, MSD’s THz initiatives, and Q-NEXT’s national quantum
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time-resolved hard X-ray diffraction microscopy and spectroscopy on single-crystalline bulk and thin film quantum materials (e.g. ferroelectrics, multiferroics, strongly correlated electron systems
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staff members, two engineers, and postdocs and students. Our program spans electron-scattering experiments at Jefferson Lab in Hall A, B, and C, including CLAS12 and SoLID. We have led SeaQuest and are
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activities can be found at www.anl.gov/phy/theory . Interested applicants should complete the following three steps: 1. Complete the application herein. 2. Email a curriculum vitae and a one-page statement of
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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for autonomous control. Position Requirements Ph.D. completed in the past 5 years or soon-to-be completed in chemistry, chemical engineering, materials science, or a closely related field. The applicant should
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing