Two postdoctoral positions are available in the lab of Nathan Urban at Carnegie Mellon University to work as part of a DARPA-funded project (REALNOSE http://www.darpa.mil/dso/solicitations/baa07-21mod11.htm) on analysis of data from arrays of biologically-based chemical sensors.


This position is part of a large multi-investigator project involving collaboration with biologists, engineers and computer scientists at several institutions. The ideal candidates would posses either:
1) a Ph.D. in computer science, statistics or engineering and have experience with analyusis of high-dimensional data, including the use of supervised and unsupervised learning techniques such as nonparametric regression, clustering, and visualization.
or
2) a Ph. D. in neuroscience, applied math or physics and have experience in developing spiking neuron and/or network simulations and have some familiarity with sensory systems.
The positions offer an excellent training environment and excellent opportunities for collaboration with others in computational neuroscience, including those at Carnegie Mellon University and the University of Pittsburgh.
Interested candidates should send a CV, statement of research experience and interests, and names and contact information for 3 references by e-mail to Dr. Nathan Urban, Department of Biological Sciences, Carnegie Mellon University, 4400 Fifth Ave. Pittsburgh PA 15213. e-mail nurban_at_cmu.edu.

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