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our fellows become proficient in multiple facets of musculoskeletal imaging and procedures. All imaging modalities are utilized to diagnose and treat injuries and diseases including CT, MRI, ultrasound
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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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-dependent cognitive processing) working with (Professor Lars F Muckli and Dr Lucy S Petro ). The project will use functional magnetic resonance imaging (3T and 7T fMRI) to investigate context feedback
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of AI for healthcare? Do you thrive in interdisciplinary environments where computer scientists, clinicians, and engineers collaborate to solve high-stakes medical challenges? If so, we invite you to join
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Neuroscience, or another related field by the start date. Prior experience using computational techniques is preferred. Application Procedure: Apply online at https://jobs.virginia.edu/us and search for
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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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imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern
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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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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