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engineering and nuclear-chemical engineering systems Create new reduced-order models and submodels related to the fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use
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the Interfacial Processes Group (Chemical Sciences and Engineering Division), will use a combination of synchrotron X-ray based tools (e.g., X-ray reflectivity, tomographic imaging, x-ray diffraction, spectroscopy
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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for developing new computational tools and AI/ML approaches to analyze and correlate data from multiple imaging modalities, including synchrotron tomography, x-ray fluorescence microscopy, visible light microscopy
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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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. Work with T&D software (e.g., OpenDSS, PSS/E) to gather data, run simulations, and assess grid-wide impacts. Additionally, candidates will: Collaborate with multidisciplinary teams to develop innovative
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We invite you to apply for a Postdoctoral Appointee position within Argonne’s Chemical Sciences and Engineering Division (CSE). In this role you will: Design, synthesize, and evaluate next
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The Environmental Science Division at Argonne National Laboratory is seeking a postdoctoral researcher to join a project aimed at improving model representations of carbon cycling and greenhouse gas
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, Biogeochemistry, or Soil Science. Experience with the application of synchrotron-based techniques to problems in one of these areas listed above. Knowledge and skills in either Biogeochemistry or synchrotron
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in experimental x-ray and materials science. Although exceptional candidates in