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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis
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assessments, digital image analytics from neuroimaging (MRI), scanned microscopic images, and organ and tissue reconstructions, biochemical and immunoassays, molecular analyses including RNA sequencing, in
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(NUBIC), which houses our Siemens Prisma 3T MRI. CBH harnesses neuroimaging, behavioral, and computational studies to understand how lifestyle choices and behaviors influence brain activity, structure
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imaging, functional and quantitative MRI, and image-guided spine and head & neck procedures, supported by state-of-the-art technology and strong institutional investment. • Partner closely with
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Send your CV along with a motivation letter to [email protected] with [email protected] in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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research studies, please visit the website: https://innovation.umn.edu/developmental-cognition-and-neuroimaging-lab/ The scholar will be able to draw on world-class neuroimaging facilities and training
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support for datasets spanning EEG/iEEG, MRI, DWI, fMRI, and associated clinical metadata collected across multiple institutions and neurological disease populations, with a primary focus on epilepsy
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Integration. Drs. Meghan Swanson and Jed Elison are co-Directors of the CNS Lab, Casey Burrows is the Lab Director of Clinical Training, and Shanna Mliner is the Program Director. Amy Esler, PhD, LP serves as
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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