Publisher
source

Inria

Just Landed

Postdoctoral Position in Causal Inference and Mechanistic Digital Twins for Individualized Adjuvant Treatment in Resected Lung Cancer Inria in France

Degree Level

Postdoc

Field of study

Oncology

Funding

Available

Country flag

Country

France

University

Inria

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Keywords

Oncology
Computer Science
Biology
Lung Cancer
Medical Science
Causal Inference
Adjuvant Therapy
Statistics

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About this position

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.

Funding details

Available

How to apply

Review the position announcement through the Inria jobs portal using the provided link and follow the application instructions for the postdoctoral research visit. The post is co-supervised by Sebastien Benzekry, Quentin Marcou, and David Boulate.

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Professors

Professor

University Name
Country flag

France

Research Interests

Statistics

Biology

Lung Cancer

Causal Inference

Computer Science