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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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together complementary expertise. Objectives of the PhD - Define the sizing and operating conditions of the expansion machine to optimize coupling with the linear alternator, using a dedicated simulation
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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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of their contribution to sea-level rise and the impacts on other components of the climate system. The candidate will also work in close collaboration with the international community of ice sheet modelers within
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 5 days ago
that drivers satisfy the defined safety properties. Expected outcomes include a better understanding of the conditions under which drivers can be memory-safe, formal models or specifications of key driver–kernel
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exciton transport to the reaction center or to a donor-acceptor interface, respectively. Characterizing, modeling and improving exciton transport properties in molecular materials remain essential tasks in