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Field
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’ questions [1, 2]. Methods known as (Graph) Retrieval Augmented Generation (RAG) make it possible to adapt the educational assistant to the pedagogical context (structure and content) in which it is
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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Knowledge Graph. Together, you will work on: Developing and extending the Helmholtz KG data model, translating scientific and infrastructure requirements into robust, maintainable schemas and ontologies
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: https://www.dropbox.com/scl/fi/ogp0biw4hs9fok3qqd0ni/Research-Scientist-1-JD.pdf?rlkey=v3u6zp7fey8devovmg10fq3hh&st=bntsjvjf&dl=0 REQUIRED: A Ph.D. in Computational Biology, Bioinformatics
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réécrire des requêtes en logique de description (DL) dans le nouveau standard de requêtes sur les graphes, GQL. En tirant parti de la puissance expressive de ce langage, nous cherchons à élargir
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
, execute, and interpret computational experiments to uncover cell-type–specific and pathway-level mechanisms driving disease risk, progression, and resilience. Full job description is available here: https
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passe pas à l'échelle et induit des latences de signalisation incompatibles avec la dynamique satellite [5–6]. Alternatives décentralisées via réseaux de neurones de graphes (Graph Neural Networks, GNN)[8
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based on graph theory and complex networks for the analysis of structured data. The research will investigate computational approaches for representing and analysing relationships between entities through
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exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https
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and processing of multi-omics biomedical data from various public sources. 2. Development and training of AI models based on Graph Neural Networks (GNN) and Kolmogorov-Arnold Graph Neural Networks