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Field
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complex real-world data structures. Probabilistic graphical models (PGMs) have been well developed in recent years to mathematically model real-world scenarios in compact graphical representations
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. This approach requires the development of advanced characterization techniques, as well as a deeper understanding of the UV emission of nanoplastics. This PhD fellowship project addresses this gap by integrating
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 3 months ago
research. The project aims to use wastewater to characterize the circulation and emergence of viruses in the population and develop warning tools, using a One Health approach. The OBEPINE+ project covers
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occurs via small-scale extreme events that propagate to large scale. A detailed check of this hypothesis thus requires multi scale tools and dedicated experimental setups as well as the development
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and IT, to develop techniques for planning the work of Agri robots, scheduling their tasks, deploying IoT devices in fields as well as for collecting, integrating, storing, analysing, building
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also have conceptual, empirical, or ethical consequences. Given the ubiquitous role of lineages in biology (central to development, regeneration, stem cell biology, cancer biology, and more), a clearer
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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