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and solution of nonlinear partial differential equations (PDEs); Experience with at least one scientific programming language (Python, C++, or Fortran); Ability to work independently while integrating
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methods for quantitative characterisation and forecasting of deep fluid circulation" (task leader: R. Chassagne) within the "PEPR sous-sol bien commun PC9", and will therefore use data from the Rhine Graben
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