For students

This section offers a selection of potential research topics for your internship or bachelor/master thesis. We welcome students from diverse backgrounds and disciplines to collaborate with our team.

Topics

Advancing risk models: integrating blood and radiology

AI implementation in Healthcare

Application of FAIR principles to the validation and interoperability of clinical AI models, using model-based selection for proton therapy as a case study

Behaviour change for shared decision-making

Bridging the Gap: Designing User-Centred AI Implementations for Healthcare

Comparing Institutional Definitions of Trustworthy AI

Data analysis and AI-modelling for disease outcome prediction

Exploring AI Developers’ Needs for Healthcare Collaboration

Exploring AI Developers’ Perspectives on Trustworthy AI

Optimizing a Decision Aid for Breast Cancer Radiotherapy: Accessibility and Patient Preferences

Towards integral and holistic validation of lab results