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Field
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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abdominal imaging, where restricted field-of-view, operator dependency, and incomplete anatomical coverage often require clinicians to rely on CT or MRI. Our recently funded VICI programme, "(R)evolution in
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following neuroimaging methods and modalities: functional connectivity, representational similarity analysis, decoding techniques; structural connectivity, magnetic resonance spectroscopy; quantitative MRI
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-class research facilities, including: The UT Dallas Center for BrainHealth (featuring two Siemens Prisma 3T MRI systems) The UT Dallas Center for Vital Longevity, a leading institute for brain aging
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of Diagnostic Radiology & Nuclear Medicine at University of Maryland School of Medicine has an opening for MRI Scientists with a background in pulse sequence development and/or reconstruction techniques. The MRI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
advanced magnetic resonance imaging techniques at 3T and 7T for imaging the visual system, including the retina, optic nerve, or brain. MRI techniques to assess blood flow, function, diffusion, and CSF flow
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MRI fiber tractography and computational modeling to associate pathway activation patterns with sleep outcomes following clinically optimized DBS in PD patients. The Post-Doctoral Associate's research
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(e.g., ABCD, AMP-SCZ) as well as an existing weekly longitudinal precision functional mapping (PFM) dataset that integrates repeated MRI, behavioral assessments, and symptom monitoring within individuals