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biomarkers in rodent models of Parkinson’s disease using molecular MRI. The Postdoctoral Associate will hold a doctoral degree in neuroscience, biology, or biochemistry and demonstrated experience in
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performing neuro-behavioral and/or neuro-physiological experiments, including visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days 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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underlying mental processing speed. The successful applicant will drive a fascinating project that links processing speed measures to previously acquired functional and structural MRI data. The project will
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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neuroimaging data analysis, including structural and functional MRI Familiarity with established neuroimaging software packages such as SPM, FSL, FreeSurfer, AFNI, or equivalent tools Experience with machine
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Position Summary This post-doctoral job posting is for an R01 funded position to conduct parcellation of non-neocortical brain structures into well-defined brain areas using multiple MRI modalities
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, write-up of the results, as well as training of students Apply image analysis skills on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these