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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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insurance, supported by INESC TEC. 2. OBJECTIVES: The main goal of this grant is to improve the performance of key-value storage systems, such as RocksDB, while ensuring strict durability guarantees
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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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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • modelling and optimisation of PCM thermal storage for buildings and industry use
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.; ●Research and develop novel generalizable deep learning computer vision algorithms for EGGIM estimation; ●Publish results in high impact journals and conferences; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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of these features in other DevOps platforms, such as GitLab. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Experimental analysis of the requirements, functionalities, and limitations of the GitHub Actions
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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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. Although these systems improve the performance of radiologists, they usually only allow visual description of the tumors, limiting themselves to a subjective and qualitative characterization. The objective
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under realistic conditions.; • Implement and experimentally test the system in a real environment, with hardware integration and validation campaigns in parabolic flights.; • Evaluate system performance