Submitted by S.E. Morgan on Thu, 24/03/2022 - 17:22
A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position.
For more information on the labs:
Regehr Lab: https://regehrmedharvard.wordpress.com/
Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab
Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to:
Kim McDaniels Kimberly_Mcdaniels@hms.harvard.edu
Please have the subject of the email: “Computational Postdoc Applicant:” Your Name