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Field
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. The lab investigates how sleep influences memory consolidation, cognitive function, and brain development or aging using behavioral assessments, EEG/polysomnography, and MRI. A portion of this postdoc’s
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funded by an NIH R01 and will focus on developing digital biomarkers for early detection of neurodegeneration using single-channel sleep EEG. Candidates with a strong background in computational biology
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supporting evidence of completion date. Preferred Qualifications: Neuroimaging expertise, ideally with: EEG, fNIRS (including data collection and analysis) Young children Behavioral testing (including eye
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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: An essential aspect of this position is the analysis of neuroimaging data (primarily EEG) in the context of the study of attention and memory. Here, we focus primarily on the investigation of working memory and
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brain aging and cognitive decline Utilize advanced computational methods, including machine learning and AI, to analyze neuroimaging data (e.g., fMRI, EEG, or other modalities) Develop and apply models
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. Essential Functions Specific activities may include collecting new data (e.g., leading exercise intervention, collecting behavioral task, EEG, fMRI, wearables data), project coordination and supporting
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an active role in recruiting subjects, maintaining databases of research-related and clinical data, and performing neurophysiology studies including electroencephalograms (EEGs) and transcranial magnetic
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, neurophysiological (EEG), and physiological (e.g., ECG) signals, within and between people, in order to understand mechanisms of self-other integration and segregation; and disseminating the results at international
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laboratory research experience in a neuroscience laboratory • Experience working with EEG datasets • Desire to succeed in a fast-paced research environment with multiple duties • Experience working with