PhD Position F/M Mean-field modeling of coupled single-cell–population dynamics with intercellular communication

Highlights

• Extend multi-scale models to capture active cell-to-cell communication.
• Model stochastic single-cell processes coupled to population growth dynamics.
• Apply reverse-engineering methods to synthetic circuits built by collaborators.

What they offer

• Subsidized meals
• Partial reimbursement of public transport costs
• 7 weeks annual leave + 10 RTT days
• Flexible working hours with teleworking possibility
• Access to vocational training

Ideal candidate

Trained in statistical physics with a taste for stochastic dynamical systems, eager to develop theory for synthetic biology and learn the biology through collaboration.

Requirements

• Master's degree (Bac+5) or equivalent
• Background in statistical physics
• Ability to study dynamical systems and stochastic processes