STAFF SCIENTIST SR

LSU

New Orleans (LA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

The Department of Cell Biology and Anatomy at LSU seeks a senior staff scientist with a PhD in Physics, Engineering, or related field and a minimum of three years postdoctoral experience in a biologically related area. The successful candidate will collaborate with Dr.

Carmen Canavier on computationally intensive projects and help develop cross-department collaborations. Responsibilities include leading large-scale neural simulations, using Neuron/Netpyne, Python, Linux, and HPC/SLURM, and

Qualifications

  • PhD in Physics, Engineering, or related field and at least three years of postdoctoral work in a biologically related area.
  • Proficiency with Neuron and/or Netpyne software packages.
  • Excellent Python programming skills and experience in Linux environments with HPC clusters and SLURM.

Responsibilities

  • Collaborate with Dr. Carmen Canavier on computationally intensive projects.
  • Develop collaborations with LSUHSC faculty to obtain extramural funding.

Skills

Python programming
Neural simulations
HPC environments
Linux
SLURM scripting

Education

PhD in Physics, Engineering, or related field

Tools

Neuron/Netpyne

Job description

The Department of Cell Biology and Anatomy seeks a senior staff scientist with a PhD in Physics, Engineering or a related field as well as a minimum of three years postdoctoral work in a biologically related field. This individual will collaborate with Dr. Carmen Canavier on computationally intensive projects and will be expected to develop collaborations with other LSUHSC faculty that require the successful candidate’s computational expertise. These collaborative efforts are expected to result in extramural funding.

Required qualifications:
  • Proficiency in Neuron and/or Netpyne Software Packages
  • Excellent Python programming skills
  • Proficiency in working in the Linux Environment
  • Proficiency in utilizing HPC clusters and SLURM scripts
  • Experience with large scale neural simulations and bifurcation analysis of the genesis of oscillations is preferred but not required.
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