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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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of representation and neural correlates in human infants and adults (fMRI, EEG and/or fNIRS methodologies). We are looking for a highly motivated candidate with: a Master's degree (or equivalent) in Cognitive Science
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simulated driving tasks.The PhD candidate will contribute to experimental design and protocol implementation.They will participate in participant recruitment and the acquisition of behavioral, EEG and eye
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motor skills. This PhD project will investigate the emergence of body representations from infancy to childhood by combining functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and