POSTDOCTORAL FELLOW POSITION - AI FOR DIGITAL LUNG AUSCULTATION ANALYSES (DigEM)
Wednesday 31st March 2021
Closing date: 13 April 2021 - 12:00am
Description: Summary of the project
The project will focus on the research and development of machine learning algorithms and deep learning methods when applied to digital lung auscultation data and other relevant data. The developed pipelines will be validated using real patient data and rigorous usability test protocols and will be deployed to provide decision support to frontline healthcare providers, once validated.
The research fellow will take a prominent leadership role in refining and conducting the research plan as presented below. The position is highly suitable for those pursuing a research career in advanced data analytics in academic or industry, particularly in the life sciences, but also in other application domains such as electrical engineering and human-interface design.
The research fellow will be co-supervised by an interdisciplinary team led by Dr. Kendall Ho (UBC Department of Emergency Medicine) and Dr. Roger Tam (UBC School of Biomedical Engineering). It will offer a great opportunity for the fellow to collaborate closely with data scientists, health researchers, and clinicians to generate impactful and meaningful outcomes.
|Location||Vancouver, British Columbia|
|Title||POSTDOCTORAL FELLOW POSITION - AI FOR DIGITAL LUNG AUSCULTATION ANALYSES|