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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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requirements, relying, for example, on increased granularity and lower material budget. You will play a leading role in evaluating the performances of a number of prototype test structures and stitched sensors
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disorders. Specifically, we work on Niemann-Pick Type C, a fatal, progressive neurodegenerative disorder affecting children. We couple proteomic, lipidomic and MS imaging techniques with traditional
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cytometry, fluorescence imaging, mouse models, single-cell RNA sequencing, or molecular and cellular biology. Candidates should have a Ph.D. (or equivalent) degree or should be close to obtaining
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The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu ) are world leaders in the development of advanced computational and
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image
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or shRNA-based gene knockdown â¢Experience with RNA-seq or other transcriptomic analyses â¢Experience in confocal imaging â¢Experience in flow cytometry Job Description: This position seeks a highly
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Position Summary We are considering the applications of a postdoctoral research fellow in medical imaging, neuroimaging, and artificial intelligence (AI). This exciting career-building position is