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of a European Research Council (ERC) Grant. This 5-year project will develop novel mathematical methods for the numerical study of electric propulsion thrusters. In addition, the thesis takes advantage
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods
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syntheses involving radioactive actinides, numerous experiments will be conducted using non-radioactive elements under similar conditions. The postdoctoral fellow will also be responsible for characterization
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of steel compositions. The future potential of the model / numerical tool to replace costly trial- error method will also be evaluated. The Institute Jean Lamour (IJL) is a joint research unit of CNRS and
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radiative impact assessment; • Validate the methodology using numerical simulations and satellite observations; • Apply the new retrieval method to investigate the geophysical and climatic impacts of sulfate
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to technologies optimization. The research team has the ambition to address all the needed scientific fields to understand turbulent and multiphase flows from simulation: numerical methods, turbulence models
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have access to state-of-the-art facilities, including cleanroom microfabrication, laser micromachining, 3D printing, advanced microscopy, and numerical modeling tools. The project benefits from a close
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environment, with regular seminars, numerous national and international collaborations, and daily interactions between experimentalists and theorists. During drought, the water columns under tension within
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collaboration by G2Elab and the Néel Institute over several years. However, there is limited feedback on the effectiveness of these methods, as few prototypes are operational, especially for magnets with high
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical