The University of British Columbia offers a fully funded Ph.D. position in machine learning for medical imaging, specifically targeting venous thromboembolism (VTE) management. The research involves developing an AI-powered multi-anatomy ultrasound platform in collaboration with clinicians and engineers. The position focuses on deep learning techniques for biomedical signal processing and image-guided surgery systems, providing a unique opportunity to advance medical imaging technology in a clinical setting. Ideal candidates will have experience with deep learning applications in medical imaging and proficiency in programming languages such as Python, Matlab, and C++.