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Field
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sciences, particularly in the domain of numerical weather prediction. On the one hand, state-of-the-art models such as GraphCast have demonstrated outstanding predictive skill. On the other hand, physics
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of frictional behavior and advanced constitutive models to describe it. In this project, you will: Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our
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(mathematical modeling in ecology, LOMIC, Banyuls-sur-Mer) and Prof. Christoph Grunau (Host-Pathogen-Environment Interactions, IHPE, Perpignan). Both laboratories are equipped with all the necessary computational
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various components of the hydrological cycle (such as precipitation, evapotranspiration, runoff, and infiltration), forms the core of traditional hydrological modeling approaches. Although powerful
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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with a strong interest in fieldwork, modelling, and collaborative science Where to apply Website https://engeomodels.upc.edu/en/news/news-sample Requirements Research FieldGeosciencesEducation
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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environmental and societal impact. Good English communication skills (written and verbal) are essential. Keywords Passive Microwave Technology Land-Atmosphere Interactions Environmental Monitoring Data Modeling