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Field
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studies (GWAS), fine-mapping, colocalisation, polygenic risk scoring, and Mendelian Randomisation; and (ii) deep phenotyping of multi-modal cardiovascular imaging (MRI, CT, echocardiography) from large
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range of techniques, including cognitive tasks administered in the lab and on smartphones, functional MRI (including densely sampled, precision imaging), and clinical assessment and phenotyping. By
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underlying behavior, cognition, and functional recovery. Knowledge of multimodal neuroimaging principles and methodologies, including EEG, NIRS, MRI and diffusion imaging techniques. Familiarity with human
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datasets in secure environments. Background in medical image analysis (CT/MRI preferred). Knowledge of detection, segmentation, and model development methods. Interest in multimodal or longitudinal clinical
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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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environment with access to state-of-the-art imaging facilities through the Center for Biomedical and Brain Imaging and the Delaware Center for Cognitive Aging Research, including a 3T Siemens Prisma MRI scanner
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close proximity to world-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
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in-house technologies such as a 3T MRI scanner, several EEG and brain stimulation labs as well as the only state-of-the-art MEG facility and a 7T MRI scanner in Scotland. Key research themes at the SPN
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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