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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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processes to developing weather forecasting and climate projection systems for Météo-France's operational services. The postdoctoral researcher will collaborate with a PhD student working on a complementary
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phenomenon for decision-making or to obtain tighter constraints on a model (e.g., in weather forecasting). In this context, jointly considering data acquired by different instruments on the same objects has
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Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected
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., 235(1), 468-487. [3] Gillet et al. (2024). Waves in Earth's core and geomagnetic field forecast. Phys. Earth Planet. Int., 357, 107284. [4] Li et al. (2024). Dynamic mode decomposition of the core