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Field
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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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that allows for the decoding of the continuous EEG signal into a sequence of cognitive event labels, and (3) apply this to data of expertise development. The intended duration of the project is 2 years
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postpartum period. Learn about the maternal brain. The postgraduate associate will become familiar with EEG/ERP and its utility in measuring processing of infant emotional signals. The postgraduate associate
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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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dynamically restricting, routing, and stabilizing trajectories through neural state space. We are interested in whether relatively low-dimensional inhibitory or feedback control signals can reorganize high
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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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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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system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms for signal processing and user intent decoding; (c) work with a Generative AI (GenAI
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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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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