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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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reports and papers for international conferences and journals with the new designs and results; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Development of methodologies for energy resource
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pattern recognition Integration into a mobile application for the user Testing and validation of the developed software in a controlled laboratory environment Scientific article for publication in a journal
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(www.inesc-id.pt ) , “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields
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insurance, supported by INESC TEC. 2. OBJECTIVES: Study the state-of-the-art in space robotics, focusing on navigation, control, and gas propulsion systems.; • Develop navigation, detection, and localization
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workplan: ; - Develop the research skills through the application of the selected methods ; - Apply the scientific method on the research process and a critical attitude on the obtained results.; 3. BRIEF
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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17172 (COMPETE2030-FEDER-00864900) co-funded by the ERDF - European Regional Development Fund through Innovation and Digital Transition Program - COMPETE 2030 under the scope of Portugal 2030 and by
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Studies (CES) – Associate Laboratory - University of Coimbra (Portugal), opens a call for applications for 1 research studentship (CES/26/2025-BI-HABIPUB) in the project “HABIPUB – Integrated strategies and