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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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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, 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
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to funcional changes in mice, such as behavioural modulation and brain network activity by MRI. The candidate will use state-of-the-art optical tools: in vitro calcium imaging, in vivo fiber photometry
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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement
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of Medical University of Lublin, to carry out research tasks for the National Science Centre OPUS 28 project entitled: “Combining Advanced Metabolic MRI at 7 T with Genomics for Improved Characterization