The laboratory of Dr. UnCheol Lee in The Center for Consciousness Science and Department of Anesthesiology at the University of Michigan Medical School invites highly motivated individuals to apply for a new post-doctoral position dedicated to studying the systematic control of consciousness in anesthesia and coma. This unique opportunity involves using computational modeling skills, highly advanced physics, and the neurobiology of consciousness. The project aims to identify a relationship between brain network configuration and type of state transition (fast or slow) during consciousness loss and recovery, which may provide a theoretical foundation for systematic control of the recovery of consciousness in anesthesia and coma. The project supported by NIH consists of interdisciplinary research teams of co-PIs (Drs. UnCheol Lee (physicist) and Dinesh Pal (neurobiologist)); therefore, it requires active interdisciplinary collaboration with both computational and wet labs.
Under the direction of the Principal Investigators, performs the following duties: Conducts computational modeling, analyzes high-density EEG data from animal and human subjects, consults scientific literature, and discusses with PI and collaborators to design and execute computational model and EEG data analysis that address important questions in the field. Actively participates in the scientific discussion forums within the department and elsewhere, such as Journal Clubs and laboratory updates. Presents research findings at national and international conferences.
Strong background in computational modeling and Matlab programming, prefer a candidate with experience on the Virtual Brain (an open-source platform for brain network models). Have experience in neural mass modeling, graph-based network analysis, and EEG data analysis. Demonstrated ability to work independently and as a team member in the interdisciplinary team, including physicists, neurobiologists, biomedical engineers, and clinicians. Excellent oral and written communication and interpersonal skills.
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