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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
cadre of satellite and airborne remote sensing platforms, termed ‘plume imagers,’ is demonstrating increasing ability to detect geologic emissions of CH4 and CO2 emissions from space. Unlike ‘area mappers
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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Post-doctoral Fellow/ Senior Research Assistant in the Division of Restorative Dental Sciences, The Faculty of Dentistry (Ref.: 532804) We now invite applications for the captioned post. Duties and
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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mechanics and 3D imaging at the division of Solid Mechanics. You will also be part of the strong international research environment at MAXIV and will work closely with users of the facility helping them
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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, or similar. Good knowledge in programming (e.g. C or python) Experience in 3D image segmentation. Track record of producing high-quality research Documented pedagogical skills and pedagogical training
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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department