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numerical optimisation, matrix calculation, linear regression and the development of mathematical models and quantitative methods for the optimisation of industrial production, for the management
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these developments to characterize the mechanical behavior of representative systems and support model identification and validation, in close interaction with numerical modeling and data-driven approaches. This will
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during these experiments will be used to calibrate a numerical model of PFAS fate in soils. The predictions from this model will then be compared with PFAS concentration measurements in leachate collected
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: The Research Fellow will be in charge of modelling, simulation, and analysis for projects
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this, the CHAIN-H2 project will combine experimental and numerical studies covering small-scale kinetics through to modelling of the larger-scale characteristics of flame inhibition (flame propagation in a cloud of
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uniformity, dynamic response, and integration compatibility with modern microelectronic and photonic platforms. The project will combine numerical modelling, optimisation methodologies, and experimental
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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is to develop high-fidelity models based on a test-calculation dialogue, seeking the best compromise between the degree of accuracy, the level of complexity, and the effort required to identify
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), colloidal physics and numerical modelling (LGC, Toulouse), and dense protein systems and drying (STLO, Rennes). The present postdoctoral position, under the supervision of Yannick Hallez and Martine Meireles
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observations disponibles dans les observatoires de l'infrastructure de recherche OZCAR comme l'Observatoire du Larzac (https://deims.org/83b01fa5-747f-47be-9185-408d73a90fb2