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handwritten text recognition and probabilistic indexing, to improve access to historical sources. Ensuring the archive is sustainable, accessible, and interoperable, aligned with FAIR principles and
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analysis, and large-scale testing infrastructures. Studying deterministic and probabilistic tracking mechanisms (e.g., shared identifiers, IP correlation, fingerprinting (see [1]), or behavioral
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of AI and machine learning techniques, including handwritten text recognition and probabilistic indexing, to improve access to historical sources. Ensuring the archive is sustainable, accessible, and
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to the development and validation of methodologies for yield estimation and forecasting. Write and publish scientific manuscripts to contribute to the PhD thesis. Participate in dissemination and communication