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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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15198 (COMPETE2030-FEDER-00886200) 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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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be developed during the grant is the design and implementation of a new benchmarking tool for storage systems. It should allow
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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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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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laboratory infrastructure.; - Identify and select suitable methods to develop the proposed work plan.; - Develop research skills through the application of the selected methods.; - Apply the scientific method
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insurance, supported by INESC TEC. 2. OBJECTIVES: The main goal of this grant is to design a new storage system that leverages heterogeneous storage hierarchies. Specifically, the work to be developed should
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; - Develop research capacity in the areas of data space connectors, interoperability, and open-source repositories. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop tools for the management
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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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) 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