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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
of methods that allow for detection and segmentation of Multiple Sclerosis lesions from spinal cord MRI images acquired with current clinical protocols. It must be emphasized that MS lesion segmentation in
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; • Extensive knowledge of solar flare physics; • Extensive experience in the analysis of astronomical data (images and spectra) from X-ray and UV/EUV instruments; • Documented experience in designing Bragg
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To strengthen our team in the division “X-Ray Imaging” in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoctoral research assistant (m/f/d) in the field of physics
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-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains
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, segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in
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data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial
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the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 533560) We now invite applications for the captioned post. Duties and Responsibilities Assist in collaborative multi
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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Division of Rheumatology, Department of Medicine
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fairness and skin-tone–aware pipelines (Fitzpatrick spectrum robustness, augmentation, bias audits). Partner with annotation teams using Encord (video) and our Segment Care image labels; shape active