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and diffusion MRI, combined EEG-MRI or MEG and analysis methods from the field of machine learning.Current projects, in which you will be involved, are investigating, e.g., how the process of falling
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to overcome the limitations of each approach. Furthermore, this stimulus will be trained using real-time EEG data, enhancing its suitability for long-term use and improving the user experience in real-world
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well as other dream related variables of interest) and at-home sleep EEG recordings from healthy individuals and PTSD patients. These at-home sleep EEG recordings will be acquired through small low-cost sleep
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Applications are invited for a highly motivated PhD student to join an exciting new project that will use high density electromyography (EMG) and electroencephalography (EEG) to examine changes in
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Canada). The BIC is also equipped with TMS, high-density EEG, high-resolution PET, micro-PET and real-time MEG/EEG modalities. Montreal is consistently ranked among the most liveable cities in the world
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. The projects in Dr. Weston’s lab focus on the study gene variants that cause human childhood epilepsies and seeks to understand the neurological physiology. This work uses electroencephalography (EEG) and in
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degree (e.g. MBBS or MD degree). •Programming skills (e.g., MATLAB®, Python) and/or experience with EEG data collection and analysis, will be considered advantageous, but not required. Relevant training
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functional neuroimaging measurement (including fMRI and intracranial EEG). The successful candidate will be working closely with the PI and will have ample opportunities to lead research projects related
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tDCS and TMS, ii) programming of experimental paradigms of EEG and ERP , iii) Psychophysics, iv) Laboratory management. The works will be related to the activities developed within the framework
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lab maintenance, the applicant should familiarize his/herself with at least two of the following techniques: EEG, tDCS, cognitive modeling of behavioural data, physiological measurements (e.g., EMG