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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for
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the mobilome) can reveal higher-order patterns and help building predictive models. Based on the possibility to infer functions and traits from metagenomes, early comparative analyses suggested that taxonomic
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deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts of the future ocean state
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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population prediction models and their impact on the epidemic differ significantly from indicators (R₀ estimation) based on simple ODE models calibrated on general population sampling data (approximately 1,000
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the carbon emission of modern production lines via operations management requires multiple coordinated tasks ranging from detection, diagnosis, prediction, solution recommendation, and efficient monitoring
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and combustion of iron/regolith mixtures, especially in the condensed phase. 2. The lack of predictive models for designing controlled combustion systems suited to the constraints of long-duration
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simulations with advanced capabilities are essential to predict turbulent transport and plasma-wall interactions in realistic geometries. Objective: A 2-year postdoctoral position (renewable) is available