Job Description

Your Job:

Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond.


The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation.

Your Profile:

  • A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field

  • Excellent quantitative and analytical skills

  • Proficiency in at least one programming language (Python, C++, …)

  • Keen interest in...

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