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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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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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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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; 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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structural or functional MRI, EEG or MEG. Experience with neuroimaging analysis, functional or structural connectivity, computational morphometry or signal processing. Experience with multivariate statistics
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. Duties/Responsibilities: 1. Data Management, Review, & Analysis (70%) Advanced Neural Signal Processing: Apply quantitative analysis, signal processing, and machine learning methods to high-dimensional EEG
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facilities, including 3T and 7T MRI, MEG, and PET. The program also features advanced high-density EEG, MRI-compatible EEG, and neuromodulation technologies, providing a unique platform for both clinical and
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RCSI 118 St Stephen’s Green Contract/Duration: Specific Purpose (up to 12months) - Full time Remuneration: Up to point 2 of the Post Doctoral researcher scale, depending on experience Closing Date: 9:00
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar