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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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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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, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
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using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction
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behavior. CAHBIR (https://sites.rutgers.edu/cahbir/ ) is a state-of-the-art brain imaging facility featuring a research-dedicated 3T Prisma MRI scanner, an EEG/TMS suite, high-speed access to high
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integrating portable EEG technologies, executive function assessments, language profiling, classroom observations, and mathematical assessments to examine how bilingualism may influence cognitive development
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behavior. CAHBIR (https://sites.rutgers.edu/cahbir/ ) is a state-of-the-art brain imaging facility featuring a research-dedicated 3T Prisma MRI scanner, an EEG/TMS suite, high-speed access to high
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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
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for injection of chemical and viral vectors, and for implantation of multiple stimulation and recording electrodes. Designs, executes, and analyzes research studies using intracranial EEG data from animals