Postdoctoral Position in Epidemiological Modelling, Bayesian Inference and Artificial Intelligence National Research Institute for Agriculture, Food, and Environment in France

INRAE’s EPIA research unit (INRAE-VetAgro Sup), based near Lyon, France, is recruiting a postdoctoral researcher for a two-year project in epidemiological modelling , Bayesian inference , and artificial intelligence . The project aims to develop a new generation of simulation-based inference methods that use recent AI advances to calibrate spatially explicit mechanistic models of pathogen transmission from multiple data sources. The methods will combine epidemiological and genomic data, update p...

Postdoc opportunity at Institut Pasteur, France in synthetic data simulation for malaria genomic epidemiology . This 2-year, full-time postdoctoral position is part of the ANR-funded UniGEM (Unified Inference for Genomic Epidemiology of Malaria) project led by Aimee Taylor . The project uses simulation-based inference (SBI) and deep learning to estimate epidemiological parameters of P. falciparum , the deadliest malaria parasite species. The postdoc will focus on building and improving a simulat...

PhD opportunity in Translational AI for Longitudinal Health Data at Mines Paris – PSL in collaboration with the Institut Curie in Paris, France. The project is hosted at the Centre for Computational Biology (CBIO) , a joint laboratory working at the intersection of artificial intelligence , machine learning , statistics , computational biology , and medicine. The research aims to develop advanced methods for large-scale longitudinal health data to support patient classification, health risk asse...

INRAE is recruiting a three-year research fellow (postdoc) in spatial epidemiology at the EPIA research unit (INRAE–VetAgro Sup), based near Lyon, France . The project focuses on developing new spatial epidemiological approaches to improve the surveillance of animal infectious diseases , with particular attention to early detection of emerging threats and identifying the populations that should be prioritised for surveillance, especially during outbreaks. A major part of the work involves integr...

Fully funded 3-year PhD opportunity at the University of Oslo , hosted by the Oslo Centre for Biostatistics and Epidemiology (OCBE) , in Probabilistic Machine Learning and Statistics . The project sits at the intersection of machine learning , Bayesian statistics , probabilistic modeling , and biomedical data science . Research themes include probabilistic machine learning , Bayesian inference , variational approximation , latent-variable modeling , analysis of complex and unstructured data , an...