MEng / MSc Deep Generative Image Translation Intern

il y a 2 semaines


Boulevard Bourdon Paris France TheraPanacea Temps plein

This internship focuses on developing universal deep learning frameworks for image-to-image translation in medical imaging, addressing challenges such as cross-modality synthesis, domain adaptation, and data scarcity. The intern will explore space-constrained foundational models that enable efficient learning and inference under limited computational and memory budgets, while maintaining high fidelity and clinical relevance. Emphasis will be placed on leveraging variational auto-encoders (VAEs) and hybrid generative architectures to learn robust latent representations that generalize across imaging modalities, scanners, and institutions.

The role involves implementing, training, and evaluating state-of-the-art models on real-world medical imaging datasets, with attention to stability, interpretability, and uncertainty modeling. The intern will collaborate with researchers to experiment with novel architectural constraints, latent-space regularization, and foundation-model adaptation strategies, contributing to scalable and transferable solutions for medical image translation. This internship offers hands-on experience at the intersection of generative modeling, representation learning, and medical AI, with opportunities for research publications and real-world clinical impact.



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