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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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projector in image reconstruction. Dual-energy imaging will be explored for quantitative determination of electron density (ρₑ) and effective atomic number (Zeff), for the inference of WAC-relevant indicators
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when required. (10%) MARGINAL DUTIES: Assist with the testing and reviewing of both first-year application and transfer application platforms. (5%) Perform intermediate and advanced computer functions
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experience with both standard neuropsychological and basic science behavioral testing strong computer programming experience (MATLAB, or python) familiarity with diffusion imaging analysis methods This is a
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engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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, molecular biology, biochemistry, microscopy, and image processing and analysis. May coordinate, influence, or review the work of others which could include oversight of undergraduate students. Will perform
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Number: R130837 The Research Technician will assist in experiments involving yeast genetics, molecular biology, biochemistry, microscopy, and image processing and analysis. The Research Technician will
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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental