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Field
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NAnoparticles by combining experimental and numerical approaches ), funded in 2024 by ANR – The French National Research Agency. Nanoparticle (NP) synthesis is a viable way of pursuing the production of next
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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, vegetation, and water table position on energy transmission. Co-develop and apply process-based numerical models of dune morphological change informed by collected datasets. Coordinate field campaigns
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Postdoctoral Research Associate with experience in numerical modelling to lead investigations into the dynamic component of the Antarctic ice sheet’s observed decadal variability. Although it is often overlooked
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assess the biological response to environmental changes in the ocean (e.g. global warming and acidification) and to predict the future capacity of the ocean to absorb carbon using numerical modelling
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 21 hours ago
broadly defined are encouraged to apply. Candidates working on gravitational self-force, post-Minkowskian and post-Newtonian theory, numerical relativity, or more generally precision computations
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or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD