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Field
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, Transformers, or learning-based planning, is a plus • Familiarity with LiDAR/camera-based perception, occupancy mapping, semantic mapping, or object localization is preferred • Experience
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analytics and reporting platforms, data modeling environments, and enterprise data sources. Responsibilities include developing and supporting reports, queries, dashboards, datasets, and semantic data models
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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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support interoperability and effective data reuse. A key focus of the role will be designing conceptual, logical, physical and semantic data models and architecture across modern data platforms, integration
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Will Gain from This PhD This PhD offers the opportunity to: Develop highly sought-after skills in knowledge engineering, semantics alignment, and collaborative innovation. Collaborate with leading
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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in Cultural Heritage Informatics and have experience in semantic web technologies and standards (RDF, SPARQL, OWL), including data modeling and transformation, preferably with the CIDOC-CRM and related
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natural language processing (NLP), knowledge graphs, and semantic search technologies. 2. Design, implement, and optimize secure, scalable, and high-performance AI solutions across multi-cloud
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Research focus on semantic technologies and automation for cybersecurity, including proven research activities in this field Publications in the leading jounals in the field of information security
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programming skills, and a commitment to transparent, reproducible research, and a willingness to engage in a semantically challenging area of NLP. If you are still awaiting your PhD to be awarded you will be