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. The goal of this PhD Thesis is to bridge these dimensions, moving beyond rigid profiles to develop adaptive, context-sensitive persona models. By integrating deep profile characteristics with real-time
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architectures for AI vision at the edge. AI4IV is offering a PhD scholarship jointly with FBK. The objective is to develop high-efficiency, silicon-native solutions that bridge the gap between neuromorphic
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and used to solve problems such as anomaly detection, diagnosis, root-cause analysis, and prognosis. Finally, this study will aim to bridge the gap between fault propagation models and fully behavioral
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, and a Continuum+K3 GIF. The group will also further data analysis using and developing software routines for analysis of large datasets. Research projects span beam-sensitive materials with
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provides a unique opportunity to bridge mechanistic insights on micronutrient interplay with real-world patient trajectories, strengthening the translational relevance of the project and fostering