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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 19 days ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph
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representative work samples (e.g., journal paper, code repository, technical report, ontology/graph model) • 4 Reference letters, including one from candidate’s PhD supervisor • PhD/Master/Bachelor degree
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should indicate this within their application. Candidates in their early career post-PhD are expected to start at the lower end of the salary range. You will: Develop and apply novel graph learning based
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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biodiversity loss under different climate and pollution scenarios. The DR will apply graph neural networks (GNNs), especially temporal graph networks (TGNs) and spatiotemporal graph neural networks (STGNNs
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Type: Postdoctoral Fellowship Location: Daejeon, Daejeon 34126, Korea, The Republic of [map ] Subject Areas: Discrete Math, Structural Graph Theory, Extremal Graph Theory, Matroid Theory, Combinatorics
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with