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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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installed Siemens NAEOTOM Alpha® photon-counting CT. - A planar gamma camera linked to a MIE computer, isolation facilities for radioiodine therapy. - Four ultrasound units (Samsung RS85 x2, Philips Epiq5
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will aim to study the morphogenetic processes occurring
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documentation and reporting of imaging studies and procedures to support continuity of care and billing requirements. Collaborate with multidisciplinary teams including breast surgery, medical oncology, radiation
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to advancing precision medicine through computational replicas of human physiology and healthcare systems. The department brings together expertise in engineering, medical imaging, computational modelling, and
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, video analytics, computer vision, pattern recognition, and digital image processing. Applicants must hold a Ph.D. in a relevant computer science discipline and should demonstrate strong academic training
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. Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision. Proficiency in mathematics, medical statistics, and 3D geometry. Proficiency in scientific and
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sciences, physics, engineering, or a related field Have experience in brain imaging (e.g functional ultrasound (fUS), fMRI; optical imaging, electrophysiology) Are proficient in the analysis of large-scale
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Neutron-X-ray Imaging for Defect-Stress