**Job Description**
The Postdoctoral Researcher will develop and validate advanced AI models integrating medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). This research directly contributes to early detection and risk stratification in patients with liver disease and involves close collaboration with AI specialists, radiologists, hepatologists, and healthcare professionals. The researcher will be embedded in the Cognition, Data and Education (CODE) section at the University of Twente, exploring deep learning approaches and XAI techniques to ensure both predictive accuracy and medical interpretability. The clinical validation and impact are driven by Medisch Spectrum Twente, focusing on translating technical advances into practical diagnostic and prognostic tools.
**Skills & Abilities**
• Excellent interdisciplinary communication skills
• Strong communication skills
• Ability to bridge technical and clinical perspectives
**Qualifications**
Required Degree(s) in:
• Ph.D. in Artificial Intelligence
• Ph.D. in Data Science
• Ph.D. in Computer Science
• Ph.D. in Biomedical Engineering (with a focus on medical imaging, multi-modal data, or omics)
• Ph.D. in a related quantitative field
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