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0HB, GB (Hybrid) Job Category Research Job Schedule Full time Contract Type Permanent (subject to fixed term funding) Salary £43,482 to £44,746 Is the role eligible for sponsorship? Yes Job Pack https
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0HB, GB (Hybrid) Job Category Research Job Schedule Full time Contract Type Permanent (subject to fixed term funding) Salary £43,482 to £44,746 Is the role eligible for sponsorship? Yes Job Pack https
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
intervention.Insights from these engagements will be integrated with outputs from advanced AI models (e.g.,geospatial deep learning, graph neural networks, and explainable AI ) to refine the AMR risk maps and
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development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial intelligence, machine learning, and digital
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confidence according to its provenance (partner data, literature, or generated data), a traceability principle already adopted by the project. The PhD candidate will build on the property-graph datalake under
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[email protected] 301.975.4393 Description There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https://jarvis.nist.gov
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employing hypergraphs, it overcomes the binary limitations of traditional graph-based approaches, enabling the representation of complex collective interactions in social and economic systems. The
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE GIURIDICHE | Bologna, Emilia-Romagna | Italy | 22 days ago
) connecting deliberative platforms with legislative systems through semantic technologies and a Deliberation Knowledge Graph, ensuring provenance and traceability; and (3) using GenAI to transform
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Bologna, Emilia-Romagna | Italy | about 1 month ago
learning (MARL) methods (e.g., mean-field approaches) and on neural models suitable for representing collective structures and dynamics, including Graph Neural Networks. Hybrid symbolic-subsymbolic
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Mathjobs.org | 25 days ago
KIAS in the relevant research fields: â¡ Computational Sciences o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o AI-Driven