Auditory Neuroscience Postdoc - Python/MATLAB & Mentoring

Gerald Choa Neuroscience Institute

Auvergne-Rhône-Alpes

On-site

EUR 35,000 - 52,000

Full time

4 days ago
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Job summary

Gerald Choa Neuroscience Institute (GCNI) invites applications for Postdoctoral Fellow(s), Research Associate(s) and Research Assistant(s) in Neuroscience to join a multidisciplinary team focused on auditory neuroscience under Prof Jan Schnupp. Strong candidates will have a PhD in related fields, proficiency in Python or MATLAB, and experience with signal processing and data analysis.

Ideal applicants are motivated to work with both humans and animal models, contribute to experimental design,

Qualifications

  • PhD in Neuroscience, Biomedical Science, Psychology or Linguistics (or related field)
  • Proficiency in coding, especially Python or MATLAB
  • Experience with signal processing or data science techniques
  • Excellent written and verbal English, including academic writing
  • Ability to work independently with initiative and problem-solving skills
  • Experience with electrophysiology or functional imaging is a plus
  • Applicants with less experience may be considered for Research Assistant role

Responsibilities

  • Participate in experiments involving humans and animal models
  • Provide design, execution and analysis support for studies
  • Collaborate with team members and stakeholders to advance research objectives
  • Mentor and supervise junior members when appropriate

Skills

Python
MATLAB
Signal processing
Data analysis
Academic writing
English

Education

PhD in Neuroscience or related field

Tools

Electrophysiology
Functional imaging

Job description

Gerald Choa Neuroscience Institute (GCNI) invites applications for Postdoctoral Fellow(s), Research Associate(s) and Research Assistant(s) in Neuroscience to join a multidisciplinary team focused on auditory neuroscience under Prof Jan Schnupp. Strong candidates will have a PhD in related fields, proficiency in Python or MATLAB, and experience with signal processing and data analysis.

Ideal applicants are motivated to work with both humans and animal models, contribute to experimental design,

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