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materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A significant
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Position Description Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab University of California Los Angeles Requisition Number: JPF11059 The Department of Radiological Sciences at UCLA is
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
. Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative analysis workflows. Collaborate within a European research consortium and
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, is a materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A
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, machine learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab (JPF11059) Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab Apply now to
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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appropriate. These tools will be used to reconstruct how sediment production and delivery to river networks have changed since 1950 in response to human activities such as deforestation. The successful
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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments/academic/engineering/research/ ). We