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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 the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of wireless networks; - knowledge of Artificial Intelligence models.; Minimum
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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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programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific