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quantum information science materials like diamond and SiC. Extensive experience conducting experimental research on materials physics systems, utilizing advanced synthesis, fabrication, spectroscopy
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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. This interdisciplinary work allows early-career researchers to build highly valuable expertise across quantum information science, materials science, engineering, and particle physics. Please feel free
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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physics, engineering, or a closely related field Experience in experimental physics/engineering, nanofabrication, quantum information science, and/or microwave and superconducting device characterization
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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reaction kinetics and complementary physical organic and inorganic chemistry approaches. This is an exciting opportunity for an early-career scientist who is passionate about sustainable materials, catalysis
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, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design Strong Python and scientific computing
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on quantum devices and experiments. The project aims to develop superconducting
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bench scale micro-computed tomography and ultrasonic sensing methods to evaluate the state of charge and state of health of iron- and lead-based electrodes. Your research will be complemented by studies