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Field
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forecasting models, which usually produce data at hourly time steps. However, certain observations, particularly those from rain radars or satellite imagery, could be leveraged to enrich the outputs
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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected
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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected
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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic
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modeling (Strasbourg) investing the role of sensorimotor beta bursts in predictive processing: align protocols, metadata, and analysis plans; contribute to cross‑species comparative work. * Advance and
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff, around a hundred PhD students and 70 other
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models have recently been developed to specifically detect these biotic interactions using large phylogeny and trait datasets (see Drury et al. 2021). In this project, the Postdoc will study whether biotic
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of Research Experience1 - 4 Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - modeling of demographic dynamics in ecological communities
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées