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Field
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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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-of-the-art experimental techniques, innovative methodologies, and/or numerical models to make fundamental advances to existing literature. Duties will include but are not limited to: Helping develop novel
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these properties in collaboration with geodynamicists to create numerical models of planets. We are looking for a highly motivated individual who would want to be part of a five-year research program to quantify
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and reliability of oil free rotary positive displacement machines by experimental and numerical means and building prototypes of novel smart , reliable and efficient machines. The post will work closely
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
-hand experience in the application of machine learning, simulation and modelling concepts in resource technology # Proven track record of interdisciplinary collaboration along the value chain of raw
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. ISTerre is part of the Observatory of Universe Sciences (OSU) at Grenoble Alpes University (UGA), which is responsible for numerous national observation services. This work will be carried out under
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 15 days ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or