39 Education-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Argonne
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to understand material behavior and improve next-generation energy storage technologies. Key Responsibilities Develop and synthesize layered oxide precursor materials using a continuously stirred tank reactor
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The Advanced Photon Source (APS) POLAR beamline is seeking a Postdoctoral Appointee to develop and employ advanced high-pressure instrumentation for x-ray spectroscopy and scattering techniques
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. The researcher will develop and apply physical, chemical, and electrochemical models for advanced battery technologies and associated manufacturing processes. This work will quantify and explain relationships
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addition, the postdoctoral appointee will perform advanced characterization of battery materials using synchrotron-based X-ray techniques to develop mechanistic understanding of material behavior and
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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
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that can guide experiments, improve efficiency, and strengthen collaboration between computation and experiment. Key Responsibilities Develop machine learning-ready data resources for materials by
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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vehicle systems, identify opportunities for improvement, and/or analyze their impacts at individual, regional and national level. The candidate will also be tasked to develop new ideas into projects under
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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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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