A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits@lsuhsc.edu; reference 00049561. Applications should be received before Nov 15 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

A second Postdoctoral Researcher position will  available Jan 1.​in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable.  Please email CV to ccanav@lsuhsc.edu for more information. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.​