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                of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through 
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                . OBJECTIVES: - To expand knowledge of the state of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed 
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                of the art in the area of electronic devices for antenna applications ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research 
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                ://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based 
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                ://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based 
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                benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions 
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                algorithms; - Automation of the model customization process by conducting laboratory tests.; - Improvement of the data workflow for real-time processing and sharing.; - Data collection in experimental and real 
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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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                algorithms to combine information on cardiovascular activity obtained from heart sound signals, electrocardiogram, and photoplethysmography. Investigate the inclusion of prior knowledge about the application 
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                algorithms for free-flying robots in microgravity.; • Implement and validate real-time multi-target tracking techniques.; • Validate the algorithms in simulated scenarios, evaluating robustness and accuracy