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multimodal data fusion", working with Prof. Marios Philiastides. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced
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Physical Sciences Research Council (EPSRC) to develop and deploy community-based EEG solutions. About the role The purpose of the role is to discover, test, and validate the sophisticated digital biomarkers
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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adults. We use various brain mapping techniques (EEG, MRI, intraoperative electrophysiology) and sensors to record simultaneous brain activity and movement during simple computer and walking tasks or in
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, neuroengineering, Psychiatry, or related field. Experience with population statistical techniques, EEG/ERP analysis, hardware development, and cognitive neuroscience. Baylor College of Medicine is an Equal
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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or more of the following techniques: Electroencephalography (EEG) Functional Near-Infrared Spectroscopy (fNIRS) Biosensors (ECG, GSR…) Start Date and Conditions Start date: April-May 2026 in Barcelona
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network, translate scalp to intracranial EEG data, and most importantly rank the surgical target and predict the recovery brain resection outcome. Patient demands and rapid establishment of new
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing