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Master's degree in Mathematics or equivalent (to be completed before the start date). You have a strong background in numerical analysis and partial differential equations, and you have experience in
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numerical analysis and partial differential equations, and you have experience in scientific computing or programming (e.g., Python). Knowledge of uncertainty quantification or inverse problems is welcome but
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