[Comp-neuro] Postdoctoral position in Computational/Theoretical
bazhenov at salk.edu
Mon Jun 25 00:22:18 CEST 2012
Applications for NIH-funded post-doctoral position are invited for
laboratory of Dr. Maxim Bazhenov at the University of California,
Riverside. This project aims at understanding how odors and odor
concentrations are encoded in the insect olfactory system. It involves
close collaboration with laboratory of Dr. Mark Stopfer at NIH. For
relevant references see, Assisi et al., Neuron 2011, 69(2):373-86; Ito
et al., Neuron 2009, 64(5):692-706; Assisi at al., Nature Neurosci,
2007, 10(9):1176-84. The ultimate goal of this work is to understand
mechanisms and functions of biological rhythms and the role of neuronal
oscillations and synchrony in information processing.
Successful candidate will be responsible for design and analysis of the
network models of olfactory system based on experimental data and data
analysis. Qualified applicants are expected to have experience in
computational/theoretical neuroscience and conductance-based neural
modeling. Programming experience with C/C++ is required. Knowledge of
PYTHON or MATLAB is a plus.
The University of California offers excellent benefits. Salary is based
on research experience. The initial appointment is for 1 year with a
possibility of extension. Applicants should send a brief statement of
research interests, a CV and the names of three references to Maxim
Bazhenov at maksim.bazhenov at ucr.edu
Maxim Bazhenov, Ph.D.
Department of Cell Biology and Neuroscience
University of California
Riverside, CA 92521
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