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Field
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laboratory integrates, under one roof: Chemical synthesis and drug formulation laboratories High-field 7 Tesla MRI Two-photon and confocal microscopy State-of-the-art electrophysiology Brain-machine interfaces
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neurostimulation (TMS, tDCS, etc.), neuroimaging (EEG, MRI, MEG, etc.), or multi-modal neurostimulation-neuroimaging techniques. Machine learning background and/or knowledge. Experience working with individuals with
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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 data
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
innovative imaging research programs. The Center is home to several core facilities, including Human Imaging core facility, Preclinical Molecular Imaging core facility, Small Animal MRI core facility
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for codebases for the analysis of normative and clinical datasets using supercomputing cluster resources. Test hypothesis around developmental plasticity metrics derived from structural and functional MRI data
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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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Qualifications - External Minimum Qualifications Education: Ph.D. in psychology, neuroscience, engineering, or related field is required. Experience: Background in MRS or MRI Knowledge and Skills • Programming
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
directly with Dr. Arpana Church, and other faculty collaborators. The projects use multimodal MRI sequences combined with measures of the gut microbiome and dimensional neuropsychiatric, behavioral and/or
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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