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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
accepted until this date. Position description The UCLA Oncology Imaging fellowship is a new comprehensive one year clinical fellowship concentrated in multi-modality cancer imaging, including CT, MRI, PET
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across a broad range of modalities and measurements including: • Resting-state and task-based functional MRI • Anatomical/structural MRI • Diffusion MRI • Multi-omics data • Clinical/behavioral outcomes
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from brain development Working with a broad range of imaging modalities (e.g. structural, diffusion-weighted and functional MRI, intracranial EEG) Development of MRI analysis toolboxes Efficient
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 21 days ago
the automation, remote operation, and high-throughput processing and analysis of magnetic resonance imaging (MRI) data. [Work content and job description] We therefore invite applications from
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candidates by completing phone interviews and collect brief neuropsychological data/MRI scans, eye scans, and/or EEG from human subjects. Schedule, coordinate, and administer scanning and testing of
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University Biomedical Imaging Center (NUBIC), which houses our Siemens Prisma 3T MRI . CBH harnesses neuroimaging, behavioral, and computational studies to understand how lifestyle choices and behaviors
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
completed a body, abdominal, or equivalent radiology fellowship. Candidates must possess excellent radiology skills in all facets of Abdominal and Oncologic Imaging, in particular CT, PET/CT and MRI
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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
deployment across imaging modalities and clinics (CT, MRI, Ultrasound, Interventional Radiology, Breast Imaging, Nuclear Medicine, X-ray, etc.). The Director partners closely with Radiology modality leaders
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from brain development Working with a broad range of imaging modalities (e.g. structural, diffusion-weighted and functional MRI, intracranial EEG) Development of MRI analysis toolboxes Efficient
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Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially in psychiatry research will be preferred