Research Associate in MRI Physics
Core
Develop, optimize, and clinically translate advanced cardiovascular MRI techniques, specifically cardiac diffusion tensor imaging (DTI) and quantitative imaging biomarkers for diseases like diabetes, heart failure, aortic stenosis, and coronary artery disease.
Role type
Research Associate in MRI Physics
Builds
Advanced cardiovascular MRI sequences, AI-driven image reconstruction/denoising pipelines, and quantitative microstructural phenotyping datasets.
Domain
Cardiovascular medicine / Medical Imaging / Machine Learning
Deliverable
production ML models | research
Required skills
MRI physics, advanced imaging techniques, Python, C++, MATLAB, cardiovascular MRI, cardiac DTI, machine learning, deep learning, quantitative imaging biomarkers
Preferred skills
Experience in diabetes, heart failure, aortic stenosis, or coronary artery disease research
Technologies
Python, C++, MATLAB, AI, deep learning
Responsibilities
MRI sequence development, optimization of diffusion tensor imaging protocols, implementation of AI and deep learning for image reconstruction and denoising, quantitative microstructural phenotyping in cardiovascular disease
Seniority
Mid-level researcher with PhD