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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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also be opportunities to contribute to additional projects, such as projects utilizing intracranial electrical stimulation and intracranial EEG (iEEG) data, depending on the candidate’s interests and
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postdoc associate. The individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome
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the writing of scientific reports (articles and conferences). We will examine brain development in the first two years of life using a cross-linguistic approach and electroencephalography (EEG) and/or
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), automated testing, and documentation for open-source research software. Preferred Qualifications: ● Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural
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software. Preferred Qualifications: * Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural data can inform or validate computational circuit models
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audio, large datasets, and multimodal neural recordings (EEG, fMRI, intracranial) to develop models with a major goal of interpretability so that we may better understand the influence of complex, natural
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), automated testing, and documentation for open-source research software. Preferred Qualifications: ● Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural
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; implements research studies in extramurally funded studies of effects of environmental exposures on mental health, using a variety of methodologies including neuropsychological testing, EEG, and neuroimaging