Internship: Self-Supervised AI for Pathology Foundation Models

BARCO; Belgique; À distance; EUR 8 900 - 13 000; Plein temps

Résumé du poste

Barco Labs, the innovation engine of Barco, invites a Master student to join an internship focused on self-supervised learning and pathology foundation models. Based in Kortrijk, Belgium, you will explore applying foundation models to large-scale digital pathology images and evaluate AI-driven approaches for identifying artifacts during slide preparation and image acquisition.

You'll collaborate with experienced researchers to leverage pre-trained image representations, analyze tissue content,

Qualifications

• Must be a Master student in a relevant technical field.
• Strong Python programming skills.
• Experience with ML/DL frameworks.
• Familiarity with Linux and Docker.
• Experience with Git and collaborative development.
• Fluent English communication.

Responsabilités

• Apply self-supervised learning to large-scale digital pathology images.
• Evaluate AI-driven approaches for artifact detection in slides.
• Leverage pre-trained representations to analyze tissue content.
• Collaborate with Barco Labs researchers on project tasks.

Connaissances

Python

Machine learning basics

Deep learning

PyTorch

TensorFlow

Docker

Git (GitHub)

English communication

Linux

Formation

Master student in Computer Science, AI, Data Science, Biomedical Engineering or related field

Outils

PyTorch

TensorFlow

Docker

Git

Linux

Description du poste

Barco Labs, the innovation engine of Barco, invites a Master student to join an internship focused on self-supervised learning and pathology foundation models. Based in Kortrijk, Belgium, you will explore applying foundation models to large-scale digital pathology images and evaluate AI-driven approaches for identifying artifacts during slide preparation and image acquisition.

You'll collaborate with experienced researchers to leverage pre-trained image representations, analyze tissue content,