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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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who maintain exceptional cognitive and physical function. We aim to understand the links between vascular brain function, neural plasticity measured through EEG, and biomechanical control of standing
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examining the impact of AI interaction on social cognition, emotional regulation, group collaboration, and collaborative learning using eye-tracking, physiology, EEG, and novel computational measures
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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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background in neuroscience, neurophysiology, or molecular biology • Experience with EEG recordings, behavioral testing, viral vector delivery, or advanced microscopy Supplemental Qualifications • Ability
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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, or a related field. Demonstrated expertise and training in stereoelectroencephalography (SEEG) interpretation for patients with epilepsy. Experience conducting intracranial EEG research within epilepsy
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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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of music and its relation to chronic pain as assessed by electroencephalography (EEG) and electrocardiography (ECG). The position is fully funded, and the scholar will work closely with Dr. Richard Harris