DoctoratExpired

Development of artificial intelligence-based predictive models for individual risk stratification and the simulation of disease progression trajectories in lung cancer screening programs

EURAXESS hosting organisation · Plusieurs pays européens

The activity focuses on the development, validation and interpretation of predictive models for individual risk stratification within WP4 of the Try-A-Lung project. A post-test model will be designed to integrate clinical data and quantitative features extracted from low-dose CT images, including nodule morphology, emphysema and risk scores for lung cancer, cardiovascular and respiratory diseases. Machine learning and deep learning models will estimate short- and long-term outcomes and will be evaluated using discrimination and calibration metrics, with comparisons against established models and advanced artificial intelligence methods. Explainable AI techniques will be used to analyse individual trajectories and identify clinically relevant progression profiles. The activities will also i

At a glance

Where: Multiple European countries
Deadline: 2026-09-23
Funding: Funding described on programme page
Board: EURAXESS

Who can apply

Criteria stated by the funder on the official source.

Nationality

EURAXESS vacancies rarely print a nationality table. Confirm whether applicants from Tunisia can apply and whether a residence/work permit pathway exists on the employer page.

Non indiqué

Education

Academic requirements are listed on the EURAXESS vacancy; match your degree level to the stated profile (often R1–R4).

Non indiqué

Funding and what it does not cover

Funding details were taken from the official programme page text. Confirm the current call before applying.