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no research. We propose to leverage state-of-the-art techniques to measure how young brains track information content within screen media in real-time. The project will involve collecting and analysing EEG
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or Python. Experience with neuroscience techniques (e.g. EEG) is a plus. You possess proven problem-solving skills and an ability to take a strong, positive and proactive approach to work. You have experience
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, stress markers, EEG, and ECG — will be collected by VR headsets and IoT devices. ML algorithms will analyse this data to identify trends, project risk factors, and propose tailored treatments. By combining
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electroencephalography (EEG), behavioural tasks, and computational modelling, the student will examine how these interventions influence brain dynamics, cognition, and subjective experience.
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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treatment. Objectives Conduct studies to measure the impact of multisensory stimulation on sensorimotor learning, working memory, and selective attention. Utilise EEG to investigate the neural mechanisms
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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to implement the protocol, and overseeing the data collection and processing. Dr. Foti’s research uses EEG methods to study the pathophysiology of psychiatric illnesses. The candidate will support Dr. Foti in
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models for fetal imaging data and ICU patient phenotyping from EEG data. Please send your application with a CV at dbc-epi-recrutement at pasteur dot fr
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experience in multivariate time series analytics, or multi-resolution, or multi-timescale analytics • Experience in collecting EEG or wearable data from participants • Experience in running experiments