60 computer-science-image-processing-"https:"-"UCL" Postdoctoral positions at Argonne
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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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electropolishing, flash polishing, and focused ion beam methods. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data
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-driven X-ray free-electron laser (XFEL) for attosecond science. The selected candidate will play a leading technical role in the design of a next-generation compact XFEL capable of producing agile
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute to
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is extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a
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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
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following areas: hydrometallurgical chemistry, critical materials recovery, separations science, heating and conversion studies and wet-chemistry processing techniques. Demonstrated ability to conduct
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unconventional sources. The successful candidate will work on a project focused on integrating selective heating with continuous hydrometallurgical processing, for recovery of critical materials relevant to energy
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capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
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technical work related to the development of new processes for metals production and processing. Prepare formal reports, make presentations, and publish to establish leadership position in R&D for