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(Partial Differential Equations: Deterministic and Probabilistic Studies), Geometry, and LIMD (Computer Logic and Discrete Mathematics). This diversity of research topics within a single laboratory reflects
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. Teaching profile: "Ordinary Differential Equations II" (Bachelor's Degree in Mathematics), "Advanced Mathematics" (MUINO). Research profile: 1202-Analysis and Functional Analysis. Where to apply Website
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and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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the possibility of extension. We are looking for PhDs in Mathematics, with experience in Hyperbolic Partial Differential Equations (PDEs), or more in general, evolution equation in the sense of Petrowsky, and who
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for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered
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systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations, stochastic differential equations, computational methods in
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Geometry Differential Geometry and Geometric Analysis Differential Equations Scientific Computing Interdisciplinary Studies Analysis and Probability Mathematical foundations for AI Applicants are encouraged
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mathematics for a better understanding of partial differential equations describing fluid-like phenomena in nature, such as atmospheric or oceanic flows, or the motion of charged fluids such as plasmas. A brief
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: EDPs2 (Partial Differential Equations: Deterministic and Probabilistic Studies), Geometry, and LIMD (Computer Logic and Discrete Mathematics). This diversity of research topics within a single laboratory
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, statistical thermodynamics, and numerical methods for partial differential equations. Experience or a strong interest in the study of stochastic fluid models is required. Knowledge of scientific programming