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of radiographic equipment. Performs fluoroscopy exams as prescribed. Able to assess patient pain interfering with imaging procedure; makes appropriate physician contact for intervention. Performs all aspects
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Pharmacology, Neurobiology, Neurology, Obstetrics & Gynecology, Ophthalmology, Orthopedic Surgery, Pathology Department Administr, Pediatrics-Administration, Physiology, Psychiatry/Biobehavioral Sci, Surgery
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Institution: Universitat de les Illes Balears (UIB) Where to apply Website https://ppi.uib.cat/inici/ Requirements Research FieldPsychological sciencesEducation LevelMaster Degree or equivalent Skills
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principles (k-space, pulse sequences, image reconstruction) Prior experience with MRI data analysis or medical image processing Familiarity with deep learning for image segmentation or detection tasks
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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from the auditory brainstem, molecular biology, including inner ear fluorescent immunohistochemistry, and confocal and super resolution microscopy imaging to investigate auditory changes as a result of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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scans and troubleshoot basic operational issues during imaging. Reconstruct CT scan datasets using appropriate reconstruction software. Perform image processing, segmentation, and quantitative analysis
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imaging data collection (WP2), alongside clinicians, MRI physicists and established public and clinical stakeholder networks (WP3). You will be embedded within the INSIGNEO Institute, Europe's largest in