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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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: 87186BR The Nursing Imaging Director provides strategic, operational, and clinical leadership for all nursing functions across Diagnostic Imaging, Interventional Radiology, and associated ambulatory and
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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https
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radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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physicians diagnose and treat various conditions. Each machine is carefully calibrated to use the lowest doses of radiation possible to provide the highest-quality image. Our radiologists, imaging
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
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. The primary research area will focus on applying advanced multimodal brain imaging, machine learning, and signal processing methods to evaluate patients with autism and related neurodevelopmental and genetic