Open post-doc position in Biomaths/Biostats × AI for Pandemic Preparedness

What you’ll do : the Early Risk Assessment work package You will help design an evidence-driven, quantitatively calibrated early-risk framework for newly emerging respiratory viruses : — Analyze a multidisciplinary and multisector expert survey on health crisis - potential pathogen features and related thresholds — Perform time-aware meta-analysis of parameter estimates across the first 200 days of historical outbreaks, and develop bias-correction procedures for early estimates — Create an early-risk warning tool blending mathematical epidemiology and machinelearning approaches Collaboration & travel : funded missions to Bordeaux and Paris are expected to work with consortium partners. Who we are looking for — PhD in biostatistics or quantitative epidemiology or applied mathematics or AI for health & life sciences — Solid understanding and practical mastery of ML/DL — R and/or Python (ideally both) at a high level Infectious-disease modelling experience is a plus, but strong quantitative talent is the priority.