Machine learning and signal processing algorithms. Data collection from optical instrumentation.
[Closed]
Work description
Application of signal processing techniques for features extraction. Application of machine learning techniques for classification of different classes based on extracted features. Assembly, documentation, testing and use of an innovative fiber optic system to collect scattering data from standard solutions and biological samples. Active participation in the writing of scientific articles related with this work.
Academic Qualifications
Master degree in biomedical engineering, electrotecnic or other similar areas
Minimum profile required
Knowledge in signal processing and machine learning techniques. Good knowledge using Matlab and Python for these applications
Preference factors
Previous knowledge in the analysis of optic signals. Previous contact with optic fiber systems for the acquisition of signals.
Application Period
Since 20 Jul 2022 to 02 Aug 2022
[Closed]
Centre
Biomedical Engineering Research