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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
or PhD in Electrical Engineering, Computer Engineering or Computer Science Minimum 5 years using digital signal processing (DSP) techniques to denoise nad classify EEG signals for sleep research Published
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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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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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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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(including Python, MATLAB or/and R) •Experience with neuroimaging (e.g MRI and EEG) and signal processing (e.g. wearable sensors) is valuable, but is not a prerequisite.•Strong analytical and problem-solving
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temporal resolution, no directional information, and limitation to pairwise comparisons. Some of these constraints can be overcome with the analysis of M/EEG signals, which can provide the information
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(i.e. understanding where in the brain signals are generated). Develop sophisticated and robust hardware methods to suppress external interference contributions from our OPM-MEG signals. Propose novel