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of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application
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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship - identify and select the appropriate methods for the study in
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life cycle of the Portuguese man’o war, the potential of citizen science initiatives, the impact of abundance outbreaks, and current methods for predicting them; - integrate data from the GelAvista
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. OBJECTIVES: - Integration of hardware and software modules, including the implementation and validation of use cases within the CONVERGE project toolset.; - Identify and select suitable methods to develop
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appropriate methods for the target study; - develop research capability through the application of the selected methods; - exercise critical thinking in evaluating the research process and the results obtained
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the state of the art in the fields of smart buildings, digital twins, and the development of building energy optimisation algorithms; Use of methods and tools for energy systems modelling and optimization.; 3
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PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Literature review regarding inspection and quality control methods that are scalable over time and robust to different and new defects; 2. Identification and
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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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for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical
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of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application