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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
Posting Information Posting Details Department Psychiatry - Research - 412250 Posting Open Date 01/12/2026 Application Deadline 10/30/2026 Open Until Filled No Position Type Postdoctoral Scholar
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skills (ideally MATLAB and/or Python) • Strong experience in preprocessing and analysis of brain MRI or MRS • Skills working with big data and statistical analysis a plus • Working in Linux
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate is responsible for conducting research into clinical research with behavioral and neuroscience outcomes
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in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. Department Specific
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to evaluate reliability, transportability, uncertainty, information sufficiency, and clinical usefulness. The postdoc will work with large-scale clinical data resources at Stanford and through national data
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large-scale whole genome and whole exome sequencing, RNA-seq, ATAC-seq, proteomics, and metabolomics data in a well-established cohort of childhood cancer survivors with clinically ascertained deep
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, immunoblotting, ELISA), and data analysis. Experience with high-throughput transcriptional profiling techniques (e.g., RNA-seq), bioinformatics, and large-scale data analysis is desirable. The ideal candidate will