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dissipation processes driven by waves in the ocean The project involves numerical simulations of various atmospheric and oceanic conditions using large eddy simulations (LES), followed by parameter calibration
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-doctoral fellow will work within the framework of the project with the aim of both (1) performing Monte Carlo simulations (with established codes such as GEANT4, MCNP, FLUKA, or others) in order to project
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interactions), (vi) Uncertainty analysis (Monte Carlo simulations, surrogate modeling), (vii) Risk analysis. The position contributes to the ANR project IM-SURF (Impact and Mitigation of SURFace Seismic Waves
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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- Modelling At the CNRS ICARE UPR3021 laboratory, located on the CNRS campus in Orléans, the candidate will join the RA team. The development of industrial chemicals can lead to significant emissions
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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treatment and analysis. The samples can range from model systems like 2D materials or thin lamella of semiconducting samples, going closer to devices like phase-change random access memory (PCRAM
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strategies to mitigate the effects of attrition) into a dynamic model of speech production, and also by improving our ability to estimate variability at the acoustic, articulatory and respiratory levels
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students are currently working on their theses within the team. This last point also presents a theoretical and methodological challenge related to modelling these reactions involving association and
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. Tasks 1. Modeling and analysis of uncertainties The first phase of the research will focus on identifying, structuring, and integrating major sources of long-term uncertainty that influence strategic