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Machine Learning Engineer for Stroke Prevention
3 weeks ago
The PhD position is focused on developing an innovative high-frame-rate ultrasound-based wall shear stress (WSS) estimation framework. This project aims to transform stroke prevention by integrating state-of-the-art machine learning techniques with advanced ultrasound imaging.
The selected candidate will contribute to groundbreaking research that has the potential to significantly enhance clinical workflows and patient outcomes. They will have the opportunity to engage in collaborative research with colleagues, academic partners, and industry professionals.
The researcher will also have the chance to develop and refine their expertise in high-frame-rate ultrasound imaging, machine learning, and AI-based image analysis, positioning themselves at the forefront of technological innovation.
