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The Chemical Sciences and Engineering Division at Argonne National Laboratory invites applications for a regular, full-time Assistant Computational Chemist / Chemical Engineer position
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and melt-liquid structure. With the recent APS-Upgrade project completed and new high coherence and brightness x-ray beam, HPCAT has concurrently made over $20M HPCAT investments in upgrading key
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and melt-liquid structure. With the recent APS-Upgrade project completed and new high coherence and brightness x-ray beam, HPCAT has concurrently made over $20M HPCAT investments in upgrading key
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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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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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phonons, magnons, and other emergent quasiparticles. The successful candidate will lead time-resolved X-ray diffraction experiments to reveal structural and electronic dynamics in condensed matter systems
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with strategic leadership of a multidisciplinary team of scientists and engineers. The GL advances the frontiers of nanoscience by conceiving, conducting, and disseminating high-impact experimental
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
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, and related techniques Conduct electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate mechanisms and structure–property relationships Document results and lead