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rates. This PhD project focuses on developing a mathematical model to predict and analyze the effects of using a gene-drive strategy to control Schistosoma mansoni directly, rather than through its snail
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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). Knowledge : PhD in ecological modelling, statistics, mathematics, geographical projections. Fluency in English (written, read and spoken). Transverse skills : Project management, Methodology and analytical
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
tools for solving these problems. The goal of this PhD is to understand how these results could be integrated or inspire the designing process of the models for the deployment and the execution of Cloud
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is to provide the most **informative** samples (not just the most probable) to facilitate identification and enhance user experience. - **Theoretical Model Improvement:** Understanding a sample's
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3 Sep 2025 Job Information Organisation/Company Université Paris-Saclay GS Mathématiques Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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of isolated clones using biochemical, biophysical and imaging methods. Engineering of protein tools using chemical or genetic methods for use in a cellular environment. Validation of tools in cellular models
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12 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics
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. This PhD project aims to achieve three main objectives: (i) Identify, using empirical data, the determinants of floral induction and flowering effort; (ii) Develop an evolutionary model of masting based