Internship: Exploration of self-learning and foundational models for healthcare applications

Barco

Barco designs technology that makes everyday life a little better. Seeing beyond the image, we develop sight, sound, and sharing solutions to help customers work together, share insights, and wow audiences. Healthcare is one of the key markets of Barco. For many years Barco has been contributing to improved healthcare by means of solutions in radiology, mammography, surgery, dermatology, dentistry, pathology etc.

Innovation in healthcare

The Barco Labs Healthcare team is constantly looking for new innovative solutions that push forward the state-of-the-art and can improve healthcare models. This group takes care of the entire innovation cycle: ideation and MVP definition, market evaluation and business case creation, R&D and clinical work for creation of proof of concepts and solutions, market and clinical / regulatory validation of the solutions, business model and business plan creation, up to commercial introduction and early pilot sales.

The task at hand

This internship will focus on exploring foundational models and self-learning mechanisms, with a specific application in the healthcare domain, where data is often inherently unbalanced. The research will investigate how data imbalance influences the effectiveness of self-learning and foundational model training, from initial data handling through to fine-tuning and evaluation. The intern will work on creating a complete pipeline, from managing healthcare data, training self-supervised models, and performing fine-tuning to achieve optimal results. Emphasis will be placed on establishing a proper research methodology and conducting rigorous evaluations, ensuring the models remain robust and reliable in scenarios with skewed or limited datasets.

Qualifications

• Proficiency in Python programming.
• Hands on experience with tensorflow/keras
• Experience working with version control systems and containerization (e.g., Git and docker).
• Hands on experience with machine learning.
• Strong problem-solving and debugging skills.
• Experience with image processing or computer vision is a plus
• Experience with algorithmic thinking and research methodology
• Fluent spoken and written communication in English

Furthermore, you should be a student in a technical discipline, eligible to work at our HQ in Kortrijk Belgium.