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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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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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The Center for Nanoscale Materials (CNM) (https://www.anl.gov/cnm ) at Argonne National Laboratory (near Chicago, USA) has an immediate postdoctoral opening on computer vision for materials imaging
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: This level of knowledge is typically achieved through a formal education in nuclear engineering or energy science, or a related field at the PhD level with zero to five years of employment experience
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in coherent diffraction imaging or other coherence-based experimental techniques. Understanding fundamentals of X-ray scattering Experience in developing and applying machine learning and artificial
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, motivated by problems arising from various imaging techniques. Candidates interested in advancing developments in numerical optimization (especially dynamic optimization), active learning, and design of
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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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research and development related to radioisotopes for medical applications. The ideal candidate conducts research aligned with Argonne’s strategic missions, specifically to work within the R2P2, which is
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Experience and knowledge in acquiring X-ray Imaging (computed tomography), microscopy (x-ray fluorescence, ptychography), scattering (SAXS, WAXS etc.), structural biology (crystallography) or absorption
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The candidates must have received a PhD degree in computer science, computer engineering, data science, high energy physics, or a related discipline within five years of the start of the appointment Experience