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Argonne’s Nanoscience and Technology Division seeks a postdoctoral scientist to advance transmission electron microscopy (TEM) studies of materials and interfaces relevant to microelectronics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
for uterine fibroids using multimodal imaging and clinical information. The postdoctoral researcher will join a multidisciplinary research team consisting of computer scientists, neuroscientists, medical
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ANR Fluid2Slip project, the postdoctoral researcher will have the
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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researcher (f/m/d) The Max Planck Institute for Multidisciplinary Sciences (MPI) in Göttingen, Germany and the Applied Physics Division at NIST in Boulder, CO, USA seek a qualified postdoctoral researcher to
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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Position Summary Postdoctoral Research Associate in Molecular Imaging and Therapy A postdoctoral research position is available at Mallinckrodt Institute of Radiology (MIR), Precision
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Radboud University Medical Center (Radboudumc); yesterday published | Netherlands | about 3 hours ago
Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided