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Field
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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 | 2 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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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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, 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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following areas is desirable: Human neuroimaging (e.g., T1-, T2-weighted MRI, diffusion-weighted imaging, fNIRS). Non-invasive brain stimulation techniques (e.g., tES, TMS, LIFUS) Programming experience (e.g
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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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including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and predictive analysis. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate works with data PET-MRI, EEG, and fMRI data collected from on-going mechanistic clinical trials