美国贝勒医学院博士后职位—神经元的大规模生物物理建模

美国贝勒医学院博士后职位—神经元的大规模生物物理建模

Postdoctoral Associate- Large Scale Biophysical Modeling of Neurons

Summary

The goal of this project is to apply methods derived from large-scale optimization and optimal control towards the optimization of neuron models having a large number of electrical compartments. The developed techniques will be used to fit in vivo and in vitro electrophysiological data from murine CA1 pyramidal cells to understand the formation of their associated place fields. In addition, the same techniques will be applied to fit electrophysiological data from a visual neuron that detects impending collision in grasshoppers.

Job Duties

•Develops methods to efficiently optimize large-scale compartmental neuron models.

•Implements these methods through computer programing and test their  efficiency using experimental data gathered in two model systems: •murine CA1 pyramidal cells

•collision detection neurons in grasshoppers.

Minimum Qualifications

•MD or Ph.D. in Basic Science, Health Science, or a related field.

•No experience required.

Preferred Qualifications

•Familiar with systems of ordinary differential equations of Hodgkin-Huxley type used to model neurons.

•Experience in computer programing which will be central to the project’s execution.

•Ph.D. in Computational Neuroscience, or a related field such as Electrical Engineering, Computer Science, Biophysics or Applied Mathematics.

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