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Field
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fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
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2 Apr 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 17 Apr 2026
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
and fine-grained semantic information within the prompts, and assess geometric accuracy of corresponding models' answers. If necessary, we will then propose dedicated learning strategies for inducing
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
. This would enable semantics-preserving, collaborative data platforms for decentralized graph-relational ecosystems. Objectives of the PhD The overarching goal of this PhD is to establish the theoretical and
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. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores. Job
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communications see our review paper entitled “Semantic Communications in Networked Systems: A Data Significance Perspective” published in IEEE Network, vol. 36, July/August 2022. The project is part of a
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directions. 1) characterise behaviourally-relevant visual and semantic dimensions by the use of large-scale brain imaging datasets of responses to images and model these representations with computational
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, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
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), predominantly in development of agentic systems and natural language processing tools for areas such as digital lexicography, analysis of historical newspapers, production of semantic data and evaluation datasets
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would be happy to discuss PhD projects related to these aims, as there is some flexibility in research directions. Characterise behaviourally-relevant visual and semantic dimensions by the use of large