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recognised for research in MR methodology and clinical translation. The candidate’s research will be closely aligned with broader aims of the Section of Medical Imaging and Technologies in the Division
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Therapy at Paul Scherrer Institut, Villigen, Switzerland) WP2 Technological completion: Developments for broad and safe use [IRP7] Novel CBCT designs for online imaging in proton therapy within a breath
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program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking
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of the SAR Ground Prototype Processor to be delivered to the Payload Data Ground Segment industry for the implementation of the operational processing chain. We offer a learning experience in a young, dynamic
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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
. Description: The Energetic Particle Lab (EPL) in the Heliophysics Science Division is currently building instruments to measure charged and neutral particles. Instrumentation is based on solid state detectors
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division, upper division or graduate students as needed and dependent upon funding. New Genres applicants must be able to teach across artistic mediums including moving image, sound, performance
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internationally-recognised for research in MR methodology for hyperpolarised gas and proton MRI of the lungs (https://www.sheffield.ac.uk/polaris ) and the Division of Clinical Medicine has an internationally
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of Radiology at Columbia University Irving Medical Center/NewYork-Presbyterian is seeking a full-time faculty member to join our pediatric imaging division. Join a fantastic team in a great working environment
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/ambient light handling. Image Preprocessing, Segmentation, and Feature Engineering Improve automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab