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robots in case of terrain changes—by processing incoming sensor and IoT data on-the-fly. Natural Language Processing (NLP) and Large Language Models (LLMs) bring a complementary human-centric dimension
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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close coordination with project partners, the recruited researcher will conduct experiments to determine the extent to which neural models, now at the heart of many approaches to Natural Language
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industrial and clinical partners Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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. The beamline is primarily dedicated to research on soft materials and biological specimens. Current inhouse research topics include dynamics of driven colloids, spontaneous self-assembly processes in amphiphilic
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for representing and reasoning about arguments, and axiomatically-grounded methods of argument evaluation. Natural language argumentation is a young research area at the crossroads of natural language processing
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strong disparate and disseminated nature (heterogeneity). As a consequence, managing, reusing and crossing different datasets is often complex. Current Approaches: Managing this data currently rests
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18 Jan 2026 Job Information Organisation/Company University of Réunion Department Chemistry of Natural Substances and Food Sciences Laboratory (LCSNSA) Research Field Biological sciences » Other