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Field
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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taxonomies and by extracting data using advanced Natural Language Processing techniques, a knowledge graph of the Romanian labor market will be created. Through an Agent-based Modeling approach the dynamics
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extracting data using advanced Natural Language Processing techniques, a knowledge graph of the Romanian labor market will be created. Through an Agent-based Modeling approach the dynamics of the labor market
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
acyclic graph (DAG) and deduplicates code subtrees within and across versions. This structure makes it possible to pre-compute and reuse intermediate analysis results efficiently, enabling accurate
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discovery. Research directions may include scientific foundation models, physics- and knowledge-guided machine learning, graph and geometric learning, surrogate and reduced-order modeling, uncertainty-aware
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We are seeking to appoint a Postdoctoral Research Assistant to join the Department of Statistics at the University of Oxford, working on the development of the Genetic Inheritance Graph (GIG), a
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, probability and geometry on groups, harmonic functions, opinion dynamics and other stochastic processes on graphs Alexei Belov AlgebraRing theory, Specht problem, combinatorial geometry, affine algebraic
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and Mathematical Statistics at Umeå University (Sweden) is offering a postdoctoral scholarship within the project “Bounds for Pancake Sorting and Analysis of the Pancake Graph”. The scholarship is tax
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swimming. The successful candidate will lead quantitative analysis of animal configuration and related flow field topology utilizing graph theory to assess the impact of swimming and environmental conditions
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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing