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Field
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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produced under conditions representative of rocket engines, for a selection of metals. After meticulous experimental characterization, the unique database obtained will be exploited to enhance the modeling
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innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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. The functional relevance of these biomarkers will be investigated using both in vitro and in vivo models, as depicted in the publications of team. Selected Publications from the Team 1: Dousset L, et al
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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. Furthermore, a novel predictive algorithm of School-age neuropsychological outcome will be developed combining radiomic model of brain development, with qualitative neonatal MRI findings. Achievement
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of the North American Ice Sheet Complex forebulge. The candidate will calculate misfit values between the statistically modeled RSL and glacial isostatic adjustment (GIA) model predictions of RSL to identify