Explainable AI Lung Cancer Risk & Trajectory Modeling

Italian Ministry of Education, University and Research; Italia; In loco; EUR 42.000 - 64.000; Tempo pieno

Descrizione del lavoro

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA is seeking a researcher to develop, validate and interpret predictive models for individual risk stratification within the Try-A-Lung WP4 project.

The role involves designing post-test models that integrate clinical data and CT-derived features, applying ML/DL methods to estimate short- and long-term outcomes, and using Explainable AI to analyse trajectories and progression profiles.

Mansioni

• Develop, validate and interpret predictive models for individual risk stratification in Try-A-Lung WP4.
• Design post-test models to integrate clinical data and CT-derived features.
• Apply ML/DL methods to estimate short- and long-term outcomes.
• Use Explainable AI to analyze trajectories and progression profiles.
• Co-supervise theses and participate in seminars and conferences.

Descrizione del lavoro

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA is seeking a researcher to develop, validate and interpret predictive models for individual risk stratification within the Try-A-Lung WP4 project.

The role involves designing post-test models that integrate clinical data and CT-derived features, applying ML/DL methods to estimate short- and long-term outcomes, and using Explainable AI to analyse trajectories and progression profiles.