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. Experience with use of nuclear databases such as those at the National Nuclear Data Center or those at the IAEA Nuclear Data Services. Demonstrated laboratory experience in safe handling of radioactive
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and conduct experiments, analyze data and explore mechanisms behind the experimental observations, prepare technical reports and manuscripts, and support future project applications. Position
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. Proficient in written and oral communication Experience with analytical techniques such as nuclear magnetic resonance spectroscopy, infrared and ultraviolet spectroscopy. Experience with spectroscopies suited
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learning to interpret experimental x-ray and electron characterization data. The postdoctoral researcher will work within the group of Dr Maria Chan (https://www.anl.gov/profile/maria-k-chan) on developing
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systems, DER operations, and grid modeling and simulation. Proficiency in Python and OpenDSS. Familiarity in scripting using at least one ML framework (Keras, TensorFlow, PyTorch, or scikit-learn) and data
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frameworks like OpenMP, CUDA, Kokkos, SYCL, or similar. Demonstrated experience running applications at scale (> 50 computing nodes). This could be AI training, simulation, or data analytics. Job Family
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the Postdoctoral Researchers’ work may be incorporated in the annual GREET updates. Postdoctoral Researchers collect and synthesize information to conduct LCA studies in the GREET modeling platform, manipulate large
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with experimental results and/or alternative benchmark models and evaluate and document the results of analytical activities for presentation to the technical community. You will support the preparation
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to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Preferred Qualifications: Knowledge and experience with analytical techniques for aqueous analytes (e.g., chromatography
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techniques. Position Requirements A recent Ph.D. in an experimental discipline, such as condensed-matter physics, materials science or related engineering field. Considerable experience in analytical