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the framework of the project. Qualifications and Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated
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industrial decarbonisation modelling to support the EU-funded FLARE project. The role will lead the technical development and integration of bottom-up, organisation-level decarbonisation models for energy
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skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications
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analysis At least 5 publications in peer-reviewed scientific journals or patents Modeling in polymer processing, particularly injection molding and extrusion; numerical simulation of transport processes
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modeling and simulation to complement physical experiments. (Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development. And possess at least three
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Gif sur Yvette, le de France | France | about 2 months ago
précision la structure des masses d'eau et les flux de chaleur et carbone à différentes échelles. Les simulations du CFC-12 sont déjà réalisées ; celles d'autres traceurs et du CO₂ anthropique seront
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designed to support your growth as a researcher, innovator, and engaged citizen, fully equipped to lead the next generation of responsible simulation science. See our website for more details (https
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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–water coupling. What you’ll do – Modeling Simulations You will design and run high resolution simulations that bring the lake to life in the model world. Starting with large eddy simulation hindcasts
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers