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What you will do
- Implement puzzle-solving methods to realign fragments into a patient-specific anatomical template
- Use statistical shape models and/or AI techniques for reconstructing premorbid anatomy
- Test, evaluate, and optimize algorithm performance using real clinical data
- Document your progress and present results to the research team and stakeholders
- MSc or PhD in computer science, AI, data science, mathematics, statistics, physics, biomedical engineering, or another equivalent technical field
- Experience with Python programming (including libraries such as Numpy, Scikit-learn, and deep learning frameworks like PyTorch or TensorFlow)
- Background in 3D geometry processing
- Understanding of statistical shape modeling or machine learning techniques for shape reconstruction is a strong plus
- Experience with algorithms for 3D reconstruction, object matching, or pattern recognition
- Working proficiency in English
- The internship must be part of your degree program
- Your university must provide an internship contract
- The internship is unpaid
- Leuven, Belgium
- Internship
- Hybrid
- CV in English
Key Skills
Ranked by relevance
ai
3d
machine learning
deep learning
pytorch
python
numpy
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Login to Apply
- Posted
- Apr 03, 2026
- Type
- Internship
- Level
- Not Applicable
- Location
- Leuven
- Company
- Materialise
Industries
Software Development
Printing Services
Categories
Research
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