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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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wide range of neuroimaging techniques (EEG, MEG, fMRI). More information about the BCBL can be found at: https://www.bcbl.eu/en . Requirements Research FieldPsychological sciencesEducation LevelMaster
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methodologies (e.g., fMRI, MEG/EEG, fNIRS, or related approaches) and that complements the Department’s existing strengths in social cognition and affective processes. Scholars with expertise in other
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Hormone Replacement Therapy trial. Brain activity related to cognitive and emotional processing will be measured using electroencephalography (EEG) and event-related potentials (ERPs) in social and non
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, cognition, and gut microbiota in (peri)menopausal women through a longitudinal study. This study combines electroencephalography (EEG), psychometric, and psychological assessments to analyze resting-state
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or electrophysiology techniques (e.g., EEG, LFP recordings, optogenetics) Strong organizational skills, attention to detail, and the ability to follow complex experimental protocols Prior experience in a research
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will take a leading role in analysing dyadic EEG, fNIRS, and physiological data from parent–child interactions and children’s screen use, working closely with the Principal Investigator and a small
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Epilepsy is required. Exposure to cortical functional mapping and localization of seizure onset zone using stereo EEG techniques is highly desirable. Experience with moderate-severe pediatric traumatic brain
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magnetic stimulation (TMS), magnetoencephalography (MEG) or EEG (Electroencephalography). The Department invites applications from outstanding candidates at the Associate and Full Professor ranks
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et al., 2025 ), mismatch negativity (MMN) to unveil the emergence of prototypic phonetic categories, and frequency-tagging analysis of EEG to probe the ability to detect non-adjacent dependencies in