Connectionists: Postdoctoral Position in Computational Neuroscience/Biophysical Modeling

Gabbiani, Fabrizio gabbiani at bcm.edu
Mon Mar 14 15:59:01 EDT 2016


Postdoctoral Position in Computational Neuroscience/Biophysical Modeling

Computational and Applied Mathematics
Rice University

and

Department of Neuroscience
Baylor College of Medicine
Houston, Texas

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A postdoctoral position in computational neuroscience is available at 
Rice University and Baylor College of Medicine, in the laboratories of 
Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of 
Medicine).

Our research focuses on understanding the biophysical mechanisms 
underlying the implementation of non-linear operations by neurons and 
neuronal circuits. The postdoctoral research associate will model the 
cellular and network mechanisms underlying collision avoidance behaviors 
using advanced mathematical techniques and computer simulations. 
Modeling will be supported by a large data set of experimental data 
gathered using electrophysiology, pharmacology, calcium imaging, 
high-speed video imaging and telemetry.

We are looking for a highly motivated candidate with a strong background 
in computational modeling of single neurons and neuronal circuits. 
Experience with Matlab and NEURON is required. The position is available 
for one year, with possibility of renewal for a second year, contingent 
of performance and funding availability. Salary will be commensurate 
with level of experience, based on an NIH scale. Applications will be 
accepted until April 15, 2016.

Our labs are located at Rice University and in the adjacent Texas 
Medical Center, close to many of Houston's cultural and outdoor 
amenities. For further information about Rice University, the Texas 
Medical Center and Houston please visit

http://www.explore.rice.edu/explore/General_Information.asp
or
https://www.bcm.edu/about-us/life-in-houston

For further informal inquiries and to apply, please send CV, the names 
and full contact information of two to three references, as well as one 
to two representative publications to cox at rice.edu and gabbiani at bcm.edu.

Equal Opportunity Employer: Females / Minorities / Veterans/ Disabled / 
Sexual Orientation / Gender Identity.



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