Post-doctoral Researcher in Likelihood-Free Statistical Inference for Epidemiological Models INRAE in France

PhD or Postdoc opportunity in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data at Aalborg University , hosted by CLINDA – Center for Clinical Data Science in collaboration with the Department of Mathematical Sciences . This opening sits at the intersection of mathematics , statistics , public health , and data science . The project focuses on a major challenge in modern health analytics: how to use sensitive health registry data responsibly while preserving privacy. The...

PhD opportunity in Explainable AI at AMU-C2VN, Marseille, France , within the ANR LOGIX Project . The project is focused on developing explainable AI methods that combine machine learning , symbolic reasoning , and biomedical data analysis to build clinically interpretable AI models that can support personalized treatment decisions. This opening is well suited to candidates with a background in Computer Science , Artificial Intelligence , Applied Mathematics , Bioinformatics , or a closely relat...

PhD Student opportunity in Genome-to-Genome Analysis of Dengue Severity at CNRS MIVEGEC, University of Montpellier, France . The project is supervised by Dr Vincent Pedergnana (Perturbation Evolution and Virulence Department) and focuses on host-pathogen genome-to-genome interactions that influence dengue disease severity. The research uses data from 1,400 patients from Sri Lanka, La Réunion, and the Caribbean to study how human genetic variation and dengue virus variation interact to shape clin...

PhD opening in statistical genomics focused on the genetics of dengue severity and host-virus interactions. The project is described as the first Genome×Genome (G×G) study of DENV, combining human and viral genomic data from about 1,400 patients across Sri Lanka, Réunion, and the Caribbean to investigate why some dengue cases become severe and develop plasma leakage. The position is based at the MIVEGEC lab in Montpellier, France (Unit: Maladies infectieuses et vecteurs — écologie, génétique, év...

Applications are invited for a full-time, 36-month PhD position in theoretical machine learning at École Normale Supérieure (ENS - PSL) in Paris, hosted by the Centre Sciences des Données (CSD) within the Département d’Informatique / DI-ENS. The project focuses on developing a new theoretical framework to understand feature learning and parameter dynamics in artificial neural networks. The research will draw on Riemannian geometry and information geometry to study learning regimes in deep neural...