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Student for developing machine learning models improving sepsis prediction

Groningen CityEnglish-friendly
Lees deze vacature in het Nederlands

This English-friendly internship at UMCG allows you to apply advanced machine learning techniques to real-world clinical data, gaining valuable research experience right alongside your studies in Groningen.

Location
Groningen City, Groningen, GR
Pay
Not listed
Hours
Not listed
Language
English-friendly
Apply method
Company website + Student Jobs form
Posted
23 May 2026
Open until
Not listed

An internship at UMCG to develop machine learning models for improving sepsis prediction by integrating biomarkers and clinical data. Responsibilities include analyzing clinical datasets, developing and evaluating ML models, and collaborating with clinicians and researchers. An internship contract is provided, with good supervision and a scientific working environment. Flexible working, including partly from home, is possible.

Student context in Groningen

Groningen is a vibrant student city where academic life and research thrive. For students at the University of Groningen (RUG) and Hanze University of Applied Sciences, especially those in data science, biomedical engineering, or computing science, this role at the UMCG offers an exceptional bridge between studies and real-world clinical application. Located right next to the bustling city centre, the UMCG is easily accessible by bike from student hubs like the Grote Markt, Europapark, and the Zernike Campus, where many science and tech lectures take place.

Working in Groningen as an international student is highly viable, as the city has a massive, welcoming English-speaking community. After a day of analyzing clinical datasets, you can easily meet up with fellow students in the lively city centre or study at the university library. This position is ideal for those looking to gain high-impact research experience while enjoying the energetic, bike-friendly lifestyle that defines Groningen's student culture.

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