Data Science Internship: Panoramic Tooth Mapping
Philips(2 months ago)
About this role
A Data Science Internship at Philips focused on reconstructing panoramic 3D dental scenes from sparse intraoral images using self-supervised learning. The project explores masked autoencoders and NeRF-inspired architectures to learn implicit representations of the full oral cavity and generate synthetic scanning trajectories and data. The role is a 6–9 month, full-time assignment contributing to Philips' health technology initiatives and technical reporting.
Required Skills
- Python
- PyTorch
- Machine Learning
- Computer Vision
- Self-Supervised Learning
- 3D Mapping
- Rendering
- Data Strategy
- Benchmarking
- Documentation
+1 more
Qualifications
- MSc (Data Science, Mathematics, Computer Science, Physics, or Electrical/Biomedical Engineering)
About Philips
philips.comLearn more about Philips and how we help improve people’s lives through meaningful innovation in the areas of Healthcare, Consumer Lifestyle and Lighting.
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