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index.markdown

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<h1>CROKE</h1>
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<h2>-Characteristic mapping for Kinetic Equations-</h2> <br>
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<h2>-Characteristic mapping for Kinetic Equations-</h2>
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<h3> from theory to simulations and Reduced Order methods </h3>
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We are looking for talented and motivated master students in computational physics, applied mathematics or data-science.
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The proposed Master’s projects can be carried out either as a 6-month internship or as part of a Master’s thesis.
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These projects are funded, and we only accept Master’s students who are interested in pursuing a PhD afterwards.
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The projects can take place within one of three teams: CEA, LAGA–Paris, or I2M (Aix-Marseille University).
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- Evolving flow maps using neural-semi Lagrangian method: [Proposal](https://characteristicmappingmethod.github.io/assets/projects/neural_SL_CMM.pdf)

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