Postdoktor inom maskininlärning och ljudanalys
Core
Conduct research on the relationship between digitally recorded heart and lung sounds and findings from CT, ultrasound, and lung function tests to improve diagnostics for cardiopulmonary diseases.
Role type
Postdoctoral researcher (Machine Learning & Audio Analysis)
Builds
Research outputs for the CHALS project
Domain
Healthcare / Biomedical Engineering / Machine Learning
Deliverable
research
Required skills
Machine Learning, statistical modeling, time-series data analysis, deep learning pipeline development, Python programming, modern ML frameworks
Preferred skills
Bayesian methods, probabilistic learning methods, signal processing, audio data analysis
Technologies
Python, deep learning frameworks
Responsibilities
Develop and adapt deep learning pipelines for noisy or heterogeneous data, analyze time-series data such as audio or biosignals, collaborate in a multidisciplinary research environment
Seniority
Postdoctoral researcher