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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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spiral imaging, and new approaches for processing and multivariate statistical analysis of brain imaging. RADIOLOGY AND BIOMEDICAL IMAGING The Department of Radiology and Biomedical Imaging is one
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processes venipuncture samples by accepted methods for use in laboratory analysis and testing as directed. Maintains patient records and medical notes related to imaging and laboratory procedures
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28 Feb 2026 Job Information Organisation/Company Université de Montpellier Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
candidate will be expected to publish in peer-reviewed journals and contribute to the broader NASA Earth Science community's preparation for the next generation of orbital imaging spectrometers. Point
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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graduate program in biomedical sciences and translational medicine, a clinical scholars program directed towards junior physicians with aspirations to become clinical scientists, and post graduate training
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as