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: The main objective of the doctoral research will be to contribute to the development of an integrated monitoring and predictive maintenance system for floating wind structures, with the potential to be
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory
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: The main objective of this PhD is to develop and validate innovative mooring and anchoring systems, with integrated structural monitoring, to increase reliability and reduce maintenance costs of floating
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- To support the launch of a programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as
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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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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: In this project, we intend to develop a new approach based on physically inspired hybrid machine
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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