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on artificial intelligence (AI) for energy systems and electrical grids - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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on artificial intelligence (AI) for energy systems and electrical grids ; - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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, supported by INESC TEC. 2. OBJECTIVES: This grant aims to investigate and practically analyze the security features of DevOps components, such as GitHub Actions. This exploration will enable an assessment
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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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insurance, supported by INESC TEC. 2. OBJECTIVES: - Expand knowledge of the state of the art in common data spaces and interoperability.; - Implementation of computational solutions for secure data sharing