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Vacancies PhD Position: AI-assisted EEG Monitoring in the ICU Key takeaways Continuous EEG (cEEG) monitoring is essential for managing patients in the intensive care unit (ICU), especially after
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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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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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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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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The position is fulltime
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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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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
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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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modeling and statistics Experience with research methods and concepts in experimental psychology and cognitive neuroscience (e.g., empirical research, experiment design, questionnaire, EEG) Technical Skills
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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