Undergraduate studies in Machine learning for early prediction of primary sclerosing cholangitis (scholarship)
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About
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.
Eligibility
Career stage: Undergraduate · Master’s
Apply to an advertised position
Covers: Research-education scholarship with an overall maximum of twelve months and at most four periods; decisions cover no more than six months at a time. Award amount is not stated.
Host location: Sweden
Research at Karolinska Institutet in Huddinge/Flemingsberg, Sweden; university registration and the stated collaboration conditions apply.
Reviewed 2026-09-29. Check the funder’s full conditions before applying.
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.
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Source: ki.varbi.com