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Field
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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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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
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purposes. The Erasmus Behavioural Lab offers outstanding facilities, including video observation, EEG, eye-tracking, virtual reality, experience sampling, and biofeedback: https://www.eur.nl/essb/informatie
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institution (Saint Germain des Près site, Paris Cité University) for 35 hours per week; remote work is possible by mutual agreement. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-LOUKIR
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using high-density electroencephalography (EEG). The candidate will be expected to work collaboratively with a research team to collect and analyze data, mentor junior lab members, prepare manuscripts
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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Investigator Dr. Christopher Petkov, the Postdoc joins a team leading on these unique dataset acquisition and advanced analytics. Testing will include site-specific single neuron and laminar recordings, fMRI/EEG
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aims to identify neural and behavioral predictors of late language emergence in both typically developing infants and those at risk for language delays. Leveraging longitudinal EEG and behavioral
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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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neuroimaging data (EEG, fNIRS, fMRI) to calibrate and validate models, enhancing the interpretation of neural and vascular dynamics. collaborating with international partners and contributing to simulation and