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collaboration with Growgraph, an R&D startup engaged in advancing knowledge graph technologies and AI-driven methods for structured data analysis. This partnership aims to foster the transfer of research outcomes
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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of Research Experience1 - 4 Additional Information Eligibility criteria • Doctor of Computer Science, Robotics • Skills in formal knowledge representation (ontology, knowledge graph, logic resolution
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graph states by exploiting the entanglement between the spin state of a carrier trapped in a quantum dot and the polarization of the photons successively emitted by the dot. We are now able to entangle
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, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS PhD in Mathematics or Computer science, A good understanding of BFT ; Ability to link technical problems and algorithms, graphs
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causal inference methods (e.g., directed acyclic graphs) would be an asset Fluent in reading, writing, and speaking scientific English Required Skills : Experience in data management and analysis of cohort