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consumption and power distribution in multi-source shipboard energy systems.; ▪ Develop a Digital Twin framework for real-time simulation, monitoring, and performance validation of the proposed architectures
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systems. Identification of the most appropriate voltage and frequency control strategies based on state-of-the-art research, and development of dispatch algorithms for islanded microgrids that account for
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in LIBS systems.; • Develop algorithms for correction and compensation of galvanometric scanning, ensuring accurate spatial correspondence of LIBS data.; • Implement automated pipelines for LIBS data
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databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation of the work performed. 4. REQUIRED PROFILE: Admission requirements: Bachelor’s
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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: This work will begin with a study on Agentic Retrieval-Augmented Generation architectures, focusing on the integration of heterogeneous and distributed data sources. Prototypes will be implemented to evaluate
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Generation architectures, focusing on the integration of heterogeneous and distributed data sources. Prototypes will be implemented to evaluate different architectural choices based on an orchestrator