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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 21 hours ago
and analyzing biosignals, with a preference for EEG and ECG signals. Experience analyzing EEG signals from noisy environments. Working knowledge of statistical machine learning techniques, deep learning
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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, engineers, and translational researchers. Research Focus Areas Applicants with expertise in one or more of the following areas are encouraged to apply: * Medical imaging AI and computer vision * Multimodal
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, visualization and reporting Apply statistical modelling, signal processing and machine learning approaches to identify phenotypes of sleep, stress, arousal and recovery Interpret complex physiological data in