Brigham & Women's Hospital, Harvard Medical School
Mentors: Dr. Kun Hu (Associate Professor) and Dr. Peng Li (Associate Physiologist)
Institution: Brigham & Women’s Hospital, Harvard Medical School
The Medical Biodynamics Program (MBP) was established in 2011 to promote the applications of novel concepts and methods derived from modern statistical physics, nonlinear dynamics, and biomedical engineering to medicine. In collaboration with scientists from different fields such as physiology, statistical
physics, biomedical engineering, and computational neurosciences, the research in the MBP encompasses a range of neurophysiological systems that are linked to or interact with sleep and circadian regulation (see https://sleep.hms.harvard.edu/research/labs-divisions/medical-biodynamics-program-mbp). Funded by the National Institutes of Health (three RF1 or R03 grants) and the BrightFocus Foundation (a three-year standard award), the on-going projects in the MBP are focused on understanding of non-cognitive physiological changes such as motor control, sleep, and circadian regulation during the progression of
Alzheimer’s disease (AD), and developing non-invasive biomarker(s) for the risk of AD. The postdoc will lead one of the projects, in which machine learning will be applied to leverage different features derived from motor activity for better predicting Alzheimer’s dementia. The postdoc will also be able to get involved in
other ongoing projects such as ‘Chronic Pain in Shift workers’, ‘Circadian/sleep disruption and incident delirium and postoperative cognitive dysfunction’, and ‘Circadian function and cognitive performance in people living with HIV-infection’. The postdoc will have the opportunity to (i) learn or participate in the
development of new tools for physiological data analysis, (ii) obtain sophisticated training in sleep and circadian physiology, and (iii) gain exposure to perioperative outcomes and potential future clinical research.
• Highly motivated individual with a Ph.D. or M.D.
• Background and strong interest in sleep/circadian physiology, biomedical signal processing, machine learning, computational neuroscience, and/or neurophysiology.
• Being proactive and independent.
• Effective communication skills.
• Strong computational skills; previous experience in programming languages such as, Matlab/Python/R, and/or big data processing is preferred.
Application Deadline: August 15, 2021
Earliest Start Date: October 15, 2021
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