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micromechanical theories. The candidate will also be expected to apply these models to predict the engineering behavior of materials in service environments. Position Requirements Recent or soon-to-be
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enhance engineering methods for designing safer and more reliable components. The researcher will also contribute to technical reports, conference papers, and journal publications, and present findings at
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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee with expertise in radiochemistry, chemistry, chemical engineering, or a related field to support experimental
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery of
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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0-5 years in computer science, mechanical engineering, artificial intelligence, or related engineering disciplines Experience with state of the art AI methods for robotics Experience with robotics
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or soon-to-be-completed Ph.D. (typically completed within the last 0-5 years)in chemical engineering, materials science, industrial engineering, or related fields. Knowledge of Python, JavaScript
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engineering, materials science, polymer science, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided