David Boulate

Inria-Inserm team COMPO (COMPutational pharmacology and clinical Oncology), in collaboration with CRCM, is seeking a postdoctoral researcher for a project on causal inference and mechanistic digital twins for individualized adjuvant treatment in resected lung cancer . The position is part of the LUCA-pi (LUng CAncer prevention and interception) RHU project. The research has a methodological focus on connecting causal inference with mechanistic modeling, with an application to predicting the effects of adjuvant treatment and preventing metastatic relapse in patients with early-stage lung cancer. The postdoctoral research visit will be co-supervised by Sebastien Benzekry, Quentin Marcou, and David Boulate. Relevant academic areas include medical science, statistics, biology, computer science, computational pharmacology, clinical oncology, causal modeling, and digital-twin development. Applicants should consult the official Inria jobs announcement for eligibility requirements, application documents, funding details, and the application deadline.