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for robust semantic alignment and interoperability across distributed ecosystems. The SecondPass project addresses these challenges by advancing machine learning (ML)-based and data-intensive methods
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for robust semantic alignment and interoperability across distributed ecosystems. The SecondPass project addresses these challenges by advancing machine learning (ML)-based and data-intensive methods
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language theory and semantic technologies, aiming to develop systematic techniques for handling protected data. The planned topic aims to develop methods that can be integrated within a digital twin
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with semantic technologies (e.g., OWL, RDF, SPARQL), knowledge graphs, and data transformation pipelines. Experience with — or strong interest in — applied AI research, particularly in combining