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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable semantic querying and reasoning over materials-science/physics corpora Developing
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hydrodynamic models and 3D urban semantic models in collaboration with project partners, with applications to recent major flood events in Germany, Brazil, and Spain. Supervision & collaborations: The PhD will
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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literature Design and test tools to identify and link key entities (e.g. species names, people, places), including disambiguation and semantic enrichment tailored to biodiversity and entomological contexts
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using
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” (funded by the German Research Foundation, DFG) PhD Researcher in Semantics and Pragmatics (m/f/d, E13 TV-L, 75%) (The salary corresponding to a 75%, TV-L 13 scale, position is approximately €3.400 per
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? What are the elements of meaning (image ciphers) that make up the semantic field of images? To what extent can images be precisely determined in their semantic content? Such questions need to be explored
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, or willingness to work with them Experience with multi-modal machine learning methods Familiarity with formal linguistics, particularly formal semantics and pragmatics We encourage applications from individuals