Connectionists: Postdoctoral position in Computational/Theoretical Neuroscience

[Maxim Bazhenov]

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.
Professor
Department of Cell Biology and Neuroscience
University of California
Riverside, CA 92521
Ph: 951-827-4370
http://biocluster.ucr.edu/~mbazhenov/



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