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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
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machines by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. You will work on the design and hardware realization of Spiking Neural Networks (SNNs
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 23 hours ago
(EEG), magnetoencephalography (MEG), positron emission tomography-MRI (PET-MRI), near-infrared spectroscopy, transcranial magnetic stimulation (TMS), and direct current stimulation (tDCS). On top of
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depth and EEG electrode measurements. Finally, the closed-loop ultrasound technology will be tested in the intrahippocampal kainic acid mouse model in this Ph.D. project. You hold a Master’s degree
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express confusion or cognitive strain, EEG signals will be used to assess cognitive state, such as workload and attention, in real time. These signals will feed back into the system, enabling adaptive