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development activities focused on the application of Artificial Intelligence (AI) and Large Language Models (LLMs) to the design of analog, mixed-signal and RF integrated circuits. The work will involve
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complementary metadata such as topography, regional humidity, and climate indicators to support later knowledge representation and AI modeling phases. The resulting annotated image dataset will be hosted
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the following conditions: OBJECTIVES | FUNCTIONS This project aims to design methods that make distributed training of multimodal models more efficient. The scholarship holder will examine how the architecture
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tool based on inverter data and digital twin models, enabling the correlation of string-level anomalies with module-level fault localisation. Validation of the integrated system in real photovoltaic