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possible including algebra, analysis, combinatorics, control theory, dynamical systems, geometry, numerical analysis, probability, statistics, stochastic analysis/control, partial differential equations, set
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or differential equations, and courses related to the successful candidate’s area of expertise. Expectations are teaching 3 courses per semester (or 9 credit hours per semester), establishing a productive research
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probability theory or differential equations, and courses related to the successful candidate’s area of expertise. Expectations are teaching 3 courses per semester (or 9 credit hours per semester
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framework of Bonneton (2023). This approach allows to « discover » variables in pre-defined partial differential equations on series of data (time-domain technique). Recent tests conducted with both lidars
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partial differential equations; Strong interest in working in a cross-disciplinary, collaborative project at the interface of electrochemistry and mathematical modelling; Knowledge of electrochemical
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modelling and numerical methods for ordinary and partial differential equations; Strong interest in working in a cross-disciplinary, collaborative project at the interface of electrochemistry and mathematical
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affect dynamic systems such as turbulence, water waves, and compressible fluid motion. The research will focus on hyperbolic-parabolic partial differential equations, nonlinear wave equations, and
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of areas of Computational Mathematics, Data Sciences, Differential Geometry, Partial Differential Equations, Probability and Statistics. The candidates for appointment at the rank of Full Professor must have
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related quantitative field. Strong knowledge of differential equations and applied mathematical modeling. Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R, Julia
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
of differential equations to generate observations. As such, the candidate will have the opportunity to work in the exciting intersection between modern machine learning methods (e.g. sampling with diffusion models