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-driven intracranial EEG (iEEG) approaches to characterize the Epileptogenic Network (EpiNet) and identify network chokepoints involved in seizure initiation. The position integrates preclinical optogenetic
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brain state. In particular, the candidate will perform advanced analysis of TMS-EEG data, participating in the various phases of the processing pipeline, from quality control and data preprocessing
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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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Number req27145 Department Psychology Department Website Link https://psychology.arizona.edu/ Location To Be Determined Address USA Position Highlights The Department of Psychology within the University
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41067 Job Number SE236524 Position Information Department or Unit Name Comm. Sciences
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to work in an interdisciplinary team. At least 1 year of experience in research activities carried out within at least one project in the field of brain research, including experience in EEG data recording
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personnel, the Student Assistant will support epilepsy research focused on seizure initiation and brain networks, including preclinical experiments, intracranial EEG analysis, histology, and data management
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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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presentations. Experience of delivering presentations at academic conferences. Advanced proficiency in designing, conducting, and analyzing neuroimaging data (e.g., EEG, ERPs, fMRI), programming skills in Python
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II, you will bring your clinical research expertise to conduct in-person clinical interview sessions and in-person EEG assessments with research participants between the ages of 5-10 and their