Dr. Saket Navlakha and his research group is seeking a self-directed postdoctoral fellow broadly interested in studying biological information processing from an algorithmic perspective. The goal is to discover new computational ideas by studying problem-solving strategies used in nature, and to ground these ideas by fostering deep collaborations with experimental biologists. We have most recently been interested in neural circuit computation and plant architecture optimization, but new areas are also welcome.
We are part of the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory. CSHL is located on the north shore of Long Island and is readily accessible from New York City via the Long Island Rail Road.
Relevant publications include:
1. A neural algorithm for a fundamental computing problem (Science, 2017)
2. A neural data structure for novelty detection (PNAS, 2018)
3. High-resolution laser scanning reveals plant architectures that reflect universal network design principles (Cell Systems, 2017).
This position is affiliated with the Simons Center for Quantitative Biology (SCQB).