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research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral position is connected to the study of partial differential equations (PDEs) in
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position is connected to the study of partial differential equations (PDEs) in fluid dynamics with focus on pattern formations and their stabilities in thin-film type equations, which is financed by grands
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the area of Partial Differential Equations. The recruited researcher will conduct research in the field of nonlinear dispersive equations, with a particular focus on the dynamics of multisolitons
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have strong experience in partial differential equations and mathematical analysis in general. Expertise in dispersive equations is not required. Applications must include: - A detailed CV with a list of
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experience in Hyperbolic Partial Differential Equations (PDEs) (or more generally in evolution equations) in the sense of Petrowsky, and who have defended their PhD for a maximum of 6 years. Selection criteria
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Differential Equations Appl Deadline: 2025/11/05 11:59PM (posted 2025/09/05, listed until 2025/11/05) Position Description: Apply Today is the last day you can apply for this position; no new applications will
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Deadline: none (posted 2025/05/13) Position Description: Position Description We are pleased to announce exciting postdoctoral opportunities within Ordinary Differential Equations group at Sun Yat-sen
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential