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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and develop
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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interact within their natural environments. Your Role This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full
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will conduct advanced research to develop, evaluate, and scale efficient and cost-effective bioprocess technologies that improve resource and energy utilization, reduce dependence on imported materials
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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We are seeking a highly motivated and creative Postdoctoral Researcher to join the X-ray Science Division (XSD) at Argonne National Laboratory. The successful candidate will develop an AI-enabled
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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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Argonne National Laboratory is seeking a highly skilled Postdoctoral Researcher to work in the Separations and Bioprocessing Group in the Applied Materials Division (AMD) on developing, designing
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will support the development of an AI-enabled autonomous experimentation (AI/AE) platform aimed at accelerating materials discovery. Research areas of interest include, but are not limited to, organic
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. Working within an interdisciplinary team, you will develop frameworks that connect atomistic features, mesoscale dynamics, and device-level performance. The effort will integrate heterogeneous data from