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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 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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employ techniques from software architecture, distributed systems, data engineering, semantic interoperability, privacy-preserving data analytics, artificial intelligence or related fields. Your duties and
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) at LISN (Semantics and Information Extraction group) in Orsay. B. Cecconi will contribute disciplinary expertise in heliophysics and manages a dedicated data repository for radio astronomical observations
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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systems, data engineering, semantic interoperability, privacy-preserving data analytics, artificial intelligence or related fields. Your duties and responsibilities in this 4-year project include: analysing
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
exchange among replicas. Several works proposed CRDTs for file systems [2,3]. However, it rests to be investigated whether the proposed merging semantics satisfy user intentions. The proposed solution will
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user requests into dataflows, API calls, analytics workflows, and robotic actions across distributed IoT, drone, and agri-robot ecosystems. It will address challenges such as semantic grounding
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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independently as well as with others in a high-paced research environment. Experience with eye tracking, EEG, R, Matlab, or Eprime would be put to good use, as would coursework in semantics, pragmatics, and
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methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content sources, and