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cycle or non-award courses of Higher Education Institutions. Preference factors: Prior knowledge of psychophysiological variables. Previous work with ECG signals and field data collection using wearable
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algorithms for analyzing electrocardiography, electromyography and movement signals, identifying characteristics and recognizing patterns in everyday activities. Testing and validation of methods developed in
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Real-time signal analysis algorithms, feature identification, and personalized
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signal processing; Previous experience in computer vision; Minimum requirements: MsC in Computer Science, Informatics Engineering, Data Science or Bioengineering. 5. EVALUATION OF APPLICATIONS AND
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, and photoplethysmography signals Collaborate in the writing of articles and reports. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Investigate and propose new multimodal deep learning