Programming, data processing, and machine learning.
Work description
Application of signal processing techniques for feature extraction in biosignals. Application of machine learning techniques for classification of different classes using the extracted features. Assembly, documentation, testing, and use of an innovative biosensing system for data collection. Active participation in the writing of scientific articles within the scope of this work.
Academic Qualifications
Master's degree in Biomedical Engineering, Electrical Engineering, or related fields.
Minimum profile required
Prior knowledge of clinical data analysis and processing. Prior experience in clinical settings involving data collection and organization.
Preference factors
Knowledge in the use of machine learning techniques for clinical data analysis.
Application Period
Since 30 Jul 2026 to 12 Aug 2026
Centre
Biomedical Engineering Research