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awarded to students who are enrolled in non-award courses, or up to four years, in the cases of students enrolled in a PhD. Scientific advisor: Tânia Esteves Workplace: INESC TEC, Braga , Portugal
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: • Specification and design of an antenna characterization system, focusing on technical and functional requirements.; • Market research and engagement with suppliers for comparative analysis of commercial solutions
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with a focus on traditional machine learning (shallow learning) and deep learning methodologies. Knowledge of Data Science, including the development of data analysis and visualisation pipelines. 5
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DevOps contexts. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Study of security vulnerabilities associated with GitHub Actions and of state-of-the-art tools for their dynamic analysis
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, algorithms with a focus on traditional machine learning (shallow learning) and deep learning methodologies. Knowledge of Data Science, including the development of data analysis and visualisation pipelines. 5
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experience in programming with R and RStudio.; Knowledge of Data Visualisation and Multivariate Analysis.; Minimum requirements: Enrolled in a Master’s program in the relevant admission area. Knowledge
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fellows, including writing scientific articles and participating in collaborative projects. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Survey and critical analysis of the state-of-the-art
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and validation in a laboratory context 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of hybrid AC/DC microgrid architectures applicable to ships. This work also