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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 05/15/2026 Application Deadline 07/07/2026 Open Until Filled No Position Type Postdoctoral
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continue until the position is filled. Education Requirement: PhD degree in Human Physiology, Rehabilitation Science, Kinesiology, Psychology, Biomedical Engineering, Electrical Engineering, or related field
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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
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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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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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, quantitative, and multiparametric MRI protocols, evaluating their reproducibility, and facilitating their clinical translation across various body regions and disease types. The work will primarily utilize
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Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Experience in working with an MRI scanner Experience in developing state-of-the-art