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to field sites made possible by a multi-year project supported by the IPEV. The results are likely to have fundamental and applied implications and a strong impact. Where to apply Website https
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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, the Eurobiomed competitiveness cluster, the Infectiopôle Sud Foundation, the Parafrap Laboratory of Excellence, the FHU-TIE (Fédération Hospitalo-Universitaire -Triangulation between the host, Infectious agents
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implications: explore scenarios of AI’s commercial development, particularly the rise of agentic and multi-agent systems, and assess their potential environmental impacts. Indirect effects: estimate the indirect
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unsupervised learning Distributed / decentralised command and control: synchronisation, coordination, adaptation, for example using multi-agent systems Decision support under uncertainty Modelling and simulation
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
Lille – Nord Europe, Villeneuve d’Ascq, in the Inria team-project Scool (Sequential, Continual and Online Learning), with strong regular interactions with CIRAD AIDA unit in Montpellier. Keywords: Multi