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Field
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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Huntington’s disease neuroimaging machine-learning models. The position will design, build and document a responsive, serverless platform enabling Python-based models, including scikit-learn, LightGBM and
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. The teaching load is four to five courses per academic year (depending on administrative and advising service roles). There are also opportunities to teach during winter and summer sessions
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developmental disorders. Some projects will involve implementing advanced statistical models including machine learning and deep learning methods to large-scale brain imaging datasets and biobank data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
of interest include machine learning and statistical inference for neural data, multimodal neural data integration and harmonization, computational modeling of cognition and behavior, neuroimaging analytics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
of interest include machine learning and statistical inference for neural data, multimodal neural data integration and harmonization, computational modeling of cognition and behavior, neuroimaging analytics
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field Demonstrated expertise in one or more of the following areas: Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling Human neuroimaging analysis, including
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. fMRI, fNIRS, EEG). Neuroimaging experience including signal pre-processing and analysis. Machine learning knowledge. Python programming. Excellent written and oral communication skills in English