Biomedical Engineering
[Closed]
Work description
Investigate and propose new multimodal denoising algorithms for pulmonary auscultation signals. Investigate and propose new deep learning solutions for detecting and characterizing events in pulmonary auscultation signals.
Academic Qualifications
MSc in Biomedical Engineering, Electrical Engineering, Informatics Engineering. Data Science, or related
Minimum profile required
Experience in python; experience in deep learning; experience in biomedical signal processing and analysis
Preference factors
Scientific publication experience
Application Period
Since 22 Aug 2024 to 08 Sep 2024
[Closed]
Centre
Biomedical Engineering Research