You will analyze and preprocess clinical datasets (e.g., patient records, vital signs) and work with biomarker data to identify predictive patterns. You will develop and evaluate machine learning models for early sepsis detection. During your internship, you will collaborate with clinicians and researchers to interpret results. You will conclude your internship presenting findings in reports and/or scientific presentations.
You are currently a student at a university (of applied sciences) pursuing a degree with a focus on data science, such as Data Science, Artificial Intelligence, Biomedical Engineering, or a related field.
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You have basic knowledge of machine learning techniques (e.g., regression, classification, neural networks)
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You have experience with Python (e.g., pandas, scikit-learn, PyTorch or TensorFlow)
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You are interested in healthcare applications and clinical data analysis
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You have strong analytical and problem-solving skills
Preferred qualifications: experience working with medical or clinical datasets; familiarity with time-series analysis; visual studie Code user.
- Internship contract with the UMCG
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Good supervision/guidance in the UMCG
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Embedding of acute research (including Acutelines, see www.acutelines.nl)
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Scientific working environment
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Places with flexi-places, equipped with a PC
Neem voor meer informatie contact op met:
[email protected]
Good to know: in consultation, you can partly work from home.
Interested?
Feel free to take some time to consider this vacancy, but don’t wait too long… We will close the vacancy once we find a suitable candidate (the closing date is fictitious).
You can easily apply via the application button.
After receiving your application, you will immediately receive a confirmation. We select once a week and invite suitable candidates for an interview. Is there a match? Then we will register you for the UMCG internship agreement.
