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models and algorithms using circuit simulation and design tools. The work will include the analysis of results, preparation of technical documentation and scientific publications, and dissemination
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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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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
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used in connection with models for clinical coding. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads
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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