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Qianliang Li is currently a Postdoctoral researcher whose work primarily focuses on analyzing resting state EEG in patients with post-traumatic stress disorder. Over the past five years, he has actively collaborated on various projects that delve into neuroscience and signal processing, with significant contributions to the understanding of brain activity in trauma-affected individuals. His academic endeavors have led to a unique fingerprint of research interests that emphasize the intersection between neural data analysis and psychological conditions. Li engages in advanced research that employs state-of-the-art techniques to extract insights from complex EEG data, contributing to both clinical and theoretical advancements in psychology and neuroscience.
Technical University of Denmark • Kgs. Lyngby, Denmark
Conducting advanced research on EEG signal analysis and its applications in mental health.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.