Post-Doctoral Research Visit F/M Detection of Spinal Cord Lesions from Combinations of Multiple MRI Sequences in Living Patients with MS

Join Inria's Empenn research lab to work on developing machine learning methods for detecting spinal cord lesions in Multiple Sclerosis patients. The role involves creating a sequence-agnostic model for MRI analysis, improving lesion detection methods, and validating these tools for clinical use. Candidates should have a strong background in machine learning, image processing, and programming, particularly in Python with deep learning libraries. The position offers a collaborative environment with access to advanced imaging facilities and a focus on translating research into clinical practice.