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Field
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/ . EOE Statement The Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes
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The Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes. Washington University is an
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Experience with neuroimaging software tools and MRI data acquisition Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure as
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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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of neuroinflammation and ischemic stroke. Familiarity with neuroimaging techniques and data analysis tools (e.g., ImageJ, GraphPad Prism). Position Details: Location: Saint Louis University School of Medicine
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involving advanced imaging and biomarker data. Perform MRI pulse sequence development and/or image reconstruction, as applicableAnalyze and interpret complex neuroimaging data. Collaborate with
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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: • Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR
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independently and collaboratively in a team-based research environment. Strong organizational skills and ability to manage multiple projects simultaneously. Preferred Qualifications: Experience with neuroimaging
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Classification Title: Postdoctoral Position – Neuroimaging - Developmental Network Neurobiology Laboratory Job Description: The University of Florida, Department of Pediatrics, Neuroimaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your