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and MR-compatible EEG system. Teaching Responsibilities – Candidates will be expected to teach undergraduate courses in cognitive, social, developmental, or quantitative psychology or in the biological
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research group, you will get extensive hands-on expertise with these techniques (EEG, TUS, neuroimaging, neurobehavioral paradigms), will become expert in designing and running in-human neuroscience
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sources) Proficiency in advanced research methodologies, which may include: Neuroimaging (e.g., fMRI, EEG, fNIRS) Computational modeling or machine learning Brain stimulation techniques (e.g., TMS, tDCS
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the significance of behaviour as an indicator of consciousness by improving the analysis methods for EEG/EKG and alternative measurements on marine species. Participate in research projects and develop measurements
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 2 months ago
themes, the successful candidate will also participate in another project aimed at developing novel methods to assess mental states and individual traits using OPM-MEG, EEG, and other physiological signals
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for scheduling participant visits, coordinating and training undergraduate research assistants, electroencephalography (EEG) and peripheral psychophysiological data collection and processing, and ecological
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Behavior Clinic within the Department of Psychiatry and Behavioral Health (https://sites.psu.edu/abcresearchprogram/). This is a 1-2 year position depending on training needs. The post-doctoral scholar will
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, including a 3TMR scanner dedicated to research, and spaces for conducting Clinical Trials and EEG. State-of-the-art scientific facilities, effective management and continuous high-standard peer-review
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EEG, ERP, TMS, fMRI, social observations labs, eye-tracker, and physiological measurement. The Family lab of the faculty comprises two large video studios for observing and filming the behaviour
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biosignals (EEG, EMG, ECG, NIRS, HRV, etc.). The main objective will be to design, optimize, and interpret machine learning models capable of characterizing the cerebral, physiological, and behavioral dynamics