Project description:
An innovative research project that has the potential to revolutionize the way we interpret electrocardiograms, by combining the fields of Machine Learning and Cardiology. Our team includes an expert cardiologist, a senior graduate student in the field of machine learning, and a family medicine resident.
Position overview:
We are looking for a computer science student with strong coding skills. Expertise in database management and familiarity with machine learning are strong assets. Workload would be 2-3 hours per week initially, with possibility of increased hours as the project progresses (availability permitting).
Start Date: ASAP
Compensation: Initially unpaid; if the fit is right, then we will offer hourly compensation, to be discussed.
How to apply: Send a brief paragraph outlining your motivations for participating in this project to nicolas.sheppard.jones@mail.utoronto.ca
Please provide a CV/Linkedin/link to personal webpage.