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Research Infrastructure? No Offer Description The objective is to develop advanced algorithms for AI-enabled semantic and robot-control-aware communication with a particular focus on the management and
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geometry, object-level organization and semantic information. The goal is to produce enriched 3D representations that can be interpreted and reused as meaningful digital assets. Therefore, the goals
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historical corpora. You will test whether these patterns are universal and build a robust open-source pipeline, and join an interdisciplinary team combining semantic representation, multilingual NLP, and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
representations of knowledge and various viewpoints. The semantic web provides a set of technologies for representing and reasoning about knowledge on a web scale [3]. These technologies include RDF
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(union, intersection, negation) and semantic subtyping. These techniques are currently being integrated into the Elixir compiler; Elixir and Erlang are the main validation ground of the project. The thesis
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attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools