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atmospheric chemistry model have shown that particle size distributions critically control atmospheric concentrations and deposition. However, current atmospheric transport models remain limited: they typically
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to match the scale of neural circuits identified within the Drosophila larvae, facilitating comparative analysis between artificial and biological networks. Required skills: This project will involve a
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theory, logistic models) Interdisciplinary work Scientific excellence to fit the PhD project Fluent (oral and written) English skills as the project operates in English language Knowledge of the language
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | 28 days ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70
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the application of PINNs for acoustic field reconstruction. The focus will be on planar holography using planar microphone arrays, with the aim of modeling the acoustic field by directly embedding the governing
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degrees of understanding in the mathematical / mathematized science. Application deadline: April 10 For updates, please also check https://sharedocs.huma-num.fr/wl/?id=vMOHFDMLNLGROARW83MOznG7tcKvBd2u
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
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for the development of critical systems. However, there has not yet been a lot of effort in formalizing these languages, their semantics or their execution model. The goal of this research project is to
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moyen infrarouge (MIR). L'intérêt des lasers émettant vers 3 µm est majeur : cette région spectrale correspond aux signatures d'absorption de nombreuses molécules atmosphériques (e.g. CH₄) ainsi qu'au
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models Access to extensive core facilities through CNRS, INSERM, ENVA, and Université Paris Cité A vibrant, supportive, and collaborative atmosphere with strong national and international partnerships