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will apply semantic modeling on the Multi-User Equipment (EMU) cluster infrastructure aiming at the generation of Explainable Artificial Intelligence (XAI). Mandatory requirements: Ph.D. in
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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students through informal mentoring, reading groups, or supervision-related activities, under the coordination of the faculty supervisor; - Submit a formal annual scientific report describing their progress
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; - Interact with graduate students through informal mentoring, reading groups, or supervision-related activities, under the coordination of the faculty supervisor; - Submit a formal annual scientific report