Stagiaire ingénieur(e) de recherche développement : Adaptation de domaine en imagerie médicale
Core
Develop domain adaptation modules (generative or simulation-based) to convert 3D volumes between medical imaging protocols and increase training data for segmentation and detection algorithms.
Role type
Research & Development Intern (Domain Adaptation in Medical Imaging)
Builds
Generative models and data augmentation pipelines for medical imaging
Domain
Medical Imaging / Deep Learning
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Image processing, Python, Applied mathematics, PyTorch
Preferred skills
MONAI, Medical imaging (CT/MR)
Responsibilities
Conduct literature review on domain adaptation (GANs, diffusion, flow matching), curate and characterize datasets, implement and compare baseline models, evaluate robustness and detect hallucinations, document code and results
Seniority
Intern (6 months, Master 2 / Engineering School)