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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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and/or MATLAB, and applied experience using machine‑learning techniques (e.g., pattern‑recognition algorithms) for neuro‑signal processing. Special Instructions to Applicants: For full consideration
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, scientific software development, data analysis or signal processing. Previous experience with electrophysiological or neurophysiological data (EEG, MEG, iEEG/SEEG, LFP or single-unit recordings) is highly
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cognitive-neuroscience methods, particularly structural or functional MRI, EEG or MEG. Experience with neuroimaging analysis, functional or structural connectivity, computational morphometry or signal
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; Experience with EEG signal processing and study design; Statistical analysis skills for brain analyses; and Strong communication skills and ability to work both within a team and independently. KEY
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
disabilities. If you require any accommodations at any point during the application and hiring process, please contact [email protected] .
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infrastructure, including access to a 3T Siemens Prisma MRI scanner, PET and EEG facilities, and comprehensive neuropsychological and somatic testing facilities. English is the main working language at the center
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or MEG. Experience with neuroimaging analysis, functional or structural connectivity, computational morphometry or signal processing. Experience with multivariate statistics, machine learning
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, Neuroscience Posting Number req27102 Department Neuroscience Department Website Link https://neurosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Maurer laboratory
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structural or functional MRI, EEG or MEG. Experience with neuroimaging analysis, functional or structural connectivity, computational morphometry or signal processing. Experience with multivariate statistics