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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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-be completed (typically within the last 0-5 years ) Ph.D. in engineering, operations research, computer science, applied mathematics, or a related field. Demonstrated expertise in mathematical
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The Nanoscale Magnetic and Electronic Heterostructure Group of the Materials Science Division (MSD) invites applications for a Postdoctoral position focused on Lorentz Transmission Electron Microscopy (LTEM) studies of magnetic heterostructures. We are interested in using real space imaging...
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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collaborators. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental physics, engineering, or a related field Effective communication skills, both verbal
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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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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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The Chemical Sciences and Engineering Division invites you to apply to a postdoctoral appointee opening. The successful candidate will perform research in the Interfacial Processes Group
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, synthesize, and process information to develop high-quality datasets and derive empirically driven results; work with other team members to develop and apply cutting-edge methodologies to address critical
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models