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advantage of recently developed (and developing) instrumentation which brings together these complementary methodologies as part of the Atomic Quantum Information Surface Science (AQuISS) Lab. Larger goals
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) invites applicants for a postdoctoral
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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 technical
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finite element models to solve solid mechanics-related Multiphysics problems using both physics-based simulations and data-driven approaches. The focus of this project will be on developing new models
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techniques, and will also be instrumental in developing sophisticated data analysis software that incorporates machine learning and artificial intelligence. The successful candidate must be able to work onsite
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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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The X-ray Science Division (XSD) at Argonne National Laboratory invites applications for a postdoctoral researcher position to develop novel X-ray diffraction techniques for 3-dimensional imaging
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efficiency, developing efficient data processing, and extracting relevant physical information and dynamics for increased understanding and utilization. Position Requirements Candidates must have a Ph.D. in
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in our Material Sciences Division. This postdoctoral position is for modeling of neutral and charged polymeric materials
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qualifications: Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields. Experience contributing to scientific software in C++, Python