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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 9 days ago
applicable with more generality. to identify the communication structures in graph colorings. In [4], it is shown that when the number of colors is sufficiently large, the graph itself suffices to
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complex, structured data, with a focus on graphs. It will investigate methodological improvements to Graph Neural Networks (or related models), based on Network Science and structural properties of the
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Mathjobs.org | 25 days ago
consists of researchers from various countries and the work is done in English. DIMAG is co-located with the IBS Extremal Combinatorics and Probability Group (ECOPRO). Website: https://dimag.ibs.re.kr
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consists of researchers from various countries and the work is done in English. DIMAG is co-located with the IBS Extremal Combinatorics and Probability Group (ECOPRO). Website: https://dimag.ibs.re.kr
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-node systems). Solid background in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 15 days ago
intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic
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knowledge graph creation Extract relationships between the entities discovered and form an internal knowledge graph and timeline of events across the full corpus Build, potentially using AI code assistants
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., PostgreSQL / SQL) Exposure to graph databases (e.g., Neo4j, Memgraph , or similar) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 16 days ago
Reference Number 10267010007 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a doctoral thesis on the mechanistic interpretability of graph
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in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current