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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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) and have a background in imaging, image analyses, machine learning, and software engineering. References: (1) A. J. Brooks et al, “Neutron interferometry detection of early crack formation caused by
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of dislocation stress fields (in collaboration with CEA Saclay). - Program the diffraction procedures to generate images comparable to Electron Channeling Contrast Imaging (ECCI) obtained using a Scanning Electron
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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imaging of subfield scattering targets." Optics Letters 41(21): 4959-4962, 2016. http://dx.doi.org/10.1364/OL.41.004959 Barnes BM, et al: "Three-dimensional deep sub-wavelength defect detection using l=193
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9 Feb 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
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. For diagnostic medical sonography (DMS), must be credentialed in ARDMS or have AART in DMS. Completion of an accredited program in radiologic technology or other medical imaging modality. Minimum of five years
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informatics. The successful candidate will join a highly interdisciplinary team of informaticians, engineers, and imaging scientists to advance quantitative imaging and informatics applications in cancer