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feedback and curvature flow, investigating stability and uniqueness of minimisers, and implementing numerical schemes to simulate the resulting non-linear PDE dynamics. In this way, the project aims
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magnetized plasmas -Expert in numerical simulation -Fluent in spoken, read, and written English Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7648-ANNBOU-001/Default.aspx Work
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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stringent requirements in terms of road safety and user experience (comfort, infotainment), etc. Managing communications between vehicles and network infrastructure (V2I) poses numerous technical challenges
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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and chemical evolution modelling Experience in galactic dynamics and analysis of numerical simulations Experience in programming in R, Python and/or SQL Experience in development of data analysis
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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
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to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows for accurate simulation of time-dependent flows, enabling sensitive applications
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to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section