Connectionists: postdoctoral position in modeling memory consolidation during sleep

[Maxim Bazhenov]

Applications are invited for post-doctoral positions in the laboratory 
of Dr. Maxim Bazhenov at the University of California, Riverside to 
study role of sleep rhythms in memory and learning. This project 
involves close collaboration with laboratories of Eric Halgren (UCSD), 
Terry Sejnowski (Salk), Sydney Cash (Harvard), Jean-Marc Fellous (Univ 
of Arizona). The ultimate goal of this work is to understand how the 
interaction among brain areas during different stages of sleep leads to 
consolidation of memory for recent learning.

The successful candidate will be responsible for the design of the 
anatomically realistic thalamo-cortico-hippocampal models based on 
existing experimental data. These models will be used to understand 
network dynamics of brain that are involved in the processes of memory 
consolidation, as well as guide data analysis and produce novel 
experimental predictions. 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. 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, Cell Biology and Neuroscience
University of California
Riverside, CA 92521
Ph: 951-827-4370
http://biocluster.ucr.edu/~mbazhenov/


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