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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
tools, specifically dedicated to the study and reliable triangulation of surfaces that are solutions to equations arising in the design of robust controllers for differential and delay differential
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of differential or partial differential equations, and the implementation of numerical methods suited to the dynamic systems under study. The post is available within the POEMS laboratory. Where to apply Website
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-delayed interactions. A major objective of this position is to develop and implement efficient numerical methods for increasingly large and complex systems of coupled nonlinear delay-differential equations
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unsupervised learning. These methods will be based on new classes of partial differential equations on graphs and new graph neural network models based on diffusion processes. The developed algorithms will be
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for solving non-linear differential equations. [1] F. Chyzak, A. Goyer, et M. Mezzarobba. Symbolic-numeric factorization of differential operators. Technical Report https://hal.inria.fr/hal-03580658v1 , HAL
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the start-up ColibriTD (https://www.colibritd.com/ ) and the DiTeQ team (ICB, UMR 6303), we are recruiting a postdoctoral researcher to work on solving partial differential equations using quantum approaches
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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of multi-modal healthcare record data. The ideal candidate will additionally have experience: Multi-modal AI model development Statistical modelling techniques (Bayesian inference, differential equations and
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Intelligence and Machine Learning, Computational Statistics, Random Matrices, Free Probability, Stochastic Control, Mathematical Finance, Stochastic Partial Differential Equations, Markov Processes, Branching
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postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods for Partial Differential Equations with