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Field
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approach is to apply foundational techniques grounded in logic, semantics, and verification. This work takes place within the CYCLIC project: Cyclic Structures in Programs and Proofs, a collaboration among
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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the French Agence Nationale de la Recherche. This project aims to advance metabolomics research by applying semantic web technologies to build knowledge graphs integrating and enriching massive
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in cyber-physical systems are susceptible to breaches of security, safety, and liveness guarantees. To this end, a rigorous mapping of selected semantics found in manufacturing automation protocols as
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hydrogen technologies. The AIMWORKS project leverages advanced AI agents—including large language models (LLMs) and Retrieval Augmented Generation (RAG)—to automate data ingestion and semantic enrichment
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. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and denotational correctness
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, workshops, internal seminars Participate in the activities of relevant research groups (e.g., Language Diversity and Semantics and Cognition) and the Center for Language and Cognition more broadly Complete
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Diversity and Semantics and Cognition) and the Center for Language and Cognition more broadly Complete the PhD in the specified timeframe (4 years) Teach in the 2nd, 3rd and 4th year of the project Move
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inspecting dark water ballast tanks on large vessels. In this role, you will design uncertainty-aware semantic segmentation models and create curated, probabilistic annotated datasets that capture the inherent
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collaboration, and who have experience in the following areas (with the first being the most important): Semantic web technologies and knowledge graphs (RDF, SPARQL, SHACL, etc.) Large language models (LLMs