As a PhD student your main tasks are: To analyze and post-process continuous, high-resolution 16-lead ECG recordings in sinus rhythm and to extract relevant information regarding P-wave morphology from the ECG signals from different population of patients. To perform statistical analysis with the ECG data to uncover possible correlation and biomarkers for classification of Brugada syndrome. To have a good understanding of cardiac electrophysiological abnormalities scenarios, with emphasis on Brugada syndrome. To publish your research findings in medical, engineering, and physiology journals; To assist in teaching activities for biomedical students
You have a solid background in biomedical engineering, signal analysis, statistics and possibly applied mathematics;; You are interested in cardiac arrhythmias and heart rhythm disturbances; You have a master’s degree in Biomedical Engineering, Physics or Applied Mathematics; You have good verbal and written communication skills (English); Experience with Matlab, R is an advantage
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