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of the proposed solutions. Activities will include the implementation and evaluation of algorithms for signal processing, detection, correlation, localization, and tracking of acoustic sources, as
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knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
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producing reports and scientific papers. Minimum requirements: Knowledge of digital signal processing, data analysis, and signal or data compression methods; Knowledge of mathematical and statistical signal
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systems. Publication of an article in a journal within the scope of this work. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Application of signal processing techniques for feature extraction in
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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: Previous experience in biomedical image and signal processing; Previous experience in technology transfer processes in biomedical tecnologia.; Minimum requirements: MSc Degree - Enrollment in a PhD program