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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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-conscious methods. HARP is led by Dr. Jana Schaich Borg, Associate Research Professor in the Social Science Research Institute. The core development team includes Dr. Rick Hoyle, Professor of Psychology and
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including neuronal spiking, local field potentials, EEG, behavior, and circuit perturbations. The goal is not merely to fit models to neural data, but to develop mechanistic frameworks that generate
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and EEG data collection in pig studies, including experimental preparation, protocol implementation, and data-quality assurance. The position will analyze multimodal MRI, EEG, and related physiological
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). This position offers hands-on experience with behavioral, eye tracking and EEG methods, cross-disciplinary collaboration, and opportunities for mentorship, authorship, and grant development. Our main focus is in
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-generation Brain Foundation Models as part of the Stanford Digital Brain Project. The fellow will work closely with Professor Ehsan Adeli(link is external) and Professor Dan Yamins(link is external) , as
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of the POSITION The Postdoctoral Scholar in Neuroimaging will report to Ayan Sengupta, Assistant Professor, Department of Health Physics and Diagnostic Sciences within the School of Integrated Health Sciences
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Skills/Qualifications PhD in Neuroscience Specific Requirements Hold the position of associate professor or university lecturer in a higher education institution, Research experience of at least 10 years
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an experienced clinical physiologist with substantial experience in neonatal EEG recording and analysis to join the dynamic project team. The Clinical Physiologist may be asked to support other EEG projects where
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testing, application of cutting-edge neurophysiological assessments (e.g. EEG, TMS, TMS-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative