Postdoc in Computational Neuroscience

**Job Description**
This project investigates network-level disruptions associated with impaired development of inhibitory circuits in an ASD subtype. It employs cutting-edge techniques including in vivo electrophysiology (Neuropixels recordings), behavioral testing, opto/chemo-genetic techniques, and spiking neural network modeling to uncover translational biomarkers and fundamental mechanisms underlying altered inhibitory circuits and network dynamics. The position offers significant opportunities for scientific growth, interdisciplinary collaboration, and method development, with a primary focus on computational analyses of large-scale electrophysiological datasets and neural circuit modeling.

**Skills & Abilities**
• Computational analyses of large-scale electrophysiological datasets
• Neural circuit modeling
• Advanced time-series analysis (SUA, LFP)
• Developing spiking neural network models
• In vivo electrophysiology (Neuropixels recordings)
• Behavioral testing
• Opto/chemo-genetic techniques
• English (Excellent level)

**Qualifications**
Required Degree(s) in:
• PhD or equivalent

**Experience**
Other:
• Recognised Researcher (R2)

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