Undergraduate studies in Machine learning for early prediction of primary sclerosing cholangitis (scholarship)

Develop machine-learning methods for early prediction of primary sclerosing cholangitis using clinical and national registry data. The project in the Nouairi research environment explores prediction in people with inflammatory bowel disease, with attention to calibration, validation and interpretable models. It is a research-training scholarship for eligible university students at Karolinska Institutet or a collaborating university. The source does not advertise an amount. Apply by 7 October 2026.

Undergraduate or graduate-level students registered at Karolinska Institutet or a collaborating university, studying data science, machine learning, engineering or a relevant subject, with strong Python or R skills. The scholarship supports qualifying research education rather than employment.