Research Associate in Cardiac Image Analysis
Core
Develop advanced approaches for analyzing cardiac MRI datasets to predict, associate, and classify health-to-disease transitions by integrating imaging and genetic data.
Role type
Research Associate in Cardiac Image Analysis
Builds
Semantic representations of large-scale medical image data and computer vision frameworks for understanding human health.
Domain
Biomedical imaging, Cardiovascular disease, Genetics
Deliverable
production ML models
Required skills
Cardiac/medical image segmentation, Self-supervised video models, Computer vision frameworks, PhD in computer science or related discipline
Preferred skills
Understanding drivers of cardiovascular disease
Technologies
Cardiac MRI, Self-supervised learning
Responsibilities
Develop innovative self-supervised approaches for creating semantic representations of time-resolved cardiac MRIs, Collaborate with clinicians and geneticists at a clinical discovery-science campus, Develop computer vision frameworks for better understanding human health
Seniority
Research Associate, fixed-term 2.5 years