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Field
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. Subsequently, a secondary atmosphere would have been degassed or brought in by a late veneer of chondritic/cometary material. Although this model is regularly evoked using giant planets for comparison, there is
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types
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, rooted in digital sciences, mobilizes knowledge engineering, including ontologies and semantic graphs, in order to structure heritage data and model chains of evidence, drawing on standards such as CIDOC
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credits, at least 60 of which must be in advanced courses relevant to the position. Alternatively, you have gained essentially corresponding knowledge in another way. Required qualifications A strong
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to the project, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses relevant to the position. Alternatively, you have gained essentially corresponding knowledge in
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apparently successful classrooms. You will therefore develop and apply multilevel models that treat group-level disparities in inclusion as meaningful characteristics of the educational environment
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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Practical experience in working with MATLAB/Python/R Knowledge of Graph Neural Networks, Transformers, or probabilistic modeling Experience with distributed or edge AI systems We offer: 4-year PhD position in
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language models and how to integrate them into applications. Experience with formal systems is not required, but is a plus. You speak and write English fluently. Knowledge of Dutch is a nice plus. You are
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 27 days ago
. Knowledge of Large Language Models, agentic AI, privacy-enhancing technologies, or information-flow analysis is a plus. Interest in experimental research, system implementation and rigorous evaluation. Good