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Systems Grant duration: 4 months, starting on 2025-09-29 , with the possibility of being renewed until the end of the project. Scientific advisor: Miguel Velhote Correia Workplace: INESC TEC, Porto
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programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific
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intelligent surfaces ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through the application of the selected methods
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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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) project aims to develop a system based on artificial intelligence (AI) and computer vision for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG
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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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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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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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professional development to help the Fellow advance to the next career stage. Fields of research Candidates with research interests in 1 or more of the following areas would be well matched to research efforts