Nuclivision is looking for a Computer Vision Intern to explore contrastive learning techniques for PET/CT. Your goal: improve representation learning for clinically relevant tasks like denoising and classification. You’ll design and evaluate self-supervised models that help extract meaningful patterns from real PET/CT data.
This is a hands-on role at the intersection of AI research and medical imaging — ideal for students eager to apply deep learning in a healthcare context. Come join our team at the fabulous wintercircus in Ghent.

• Interest in medical imaging and deep learning, especially PET or PET/CT.
• Proficiency in Python and experience with deep learning libraries such as PyTorch or TensorFlow.
• Strong analytical and problem-solving skills.
• Full proficiency in English.
• Ability to work independently in a research-oriented setting.