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, modelling and understanding the mechanisms of the emergence of global effects in a social network from dyadic interactions is a challenging task, especially when feedback effects between dynamics and
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are planned for participation in several international conferences). Expected skills Knowledge and technical skills: • Master's degree (or engineering degree) in Evolutionary Biology, Ecological Modeling
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential
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for action and mitigation measures, in order to reduce the identified environmental and socio-ecological risks from the design phase onwards. Our previous work has demonstrated the relevance of trophic
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for sound propagation in moving media. Journal of the Acoustical Society of America, 155(2) :1086–1102, 02 2024. Tian, Y. and Cotté, B.: Wind Turbine Noise Modeling Based on Amiet’s Theory: Effects of Wind
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information, they are computationally intensive, which prevents their systematic use in large parametric studies. Consequently, simplified or surrogate models (e.g., 1D network models, reduced-order models
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 9 days ago
the island food systems of the Comoros archipelago (incl. Mayotte) in order to develop an analytical framework and a model for assessing the vulnerability and resilience of these systems to climate risk. Under
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 28 days ago
to be analyzed (for example in the IDE via Language Server Protocol). Context Today, static analysis can be integrated into a model-driven engineering (MDE) approach to transform source code into usable
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, optimal perturbations, resolvent methods) of Görtler vortices, identifying dominant modes and regions amenable to control. -Objective 2: Reduced-order modelling via autoencoders and discovery of explicit