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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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 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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, especially with numerical partial differential equations, scientific computing, data science, or an area which complements the Department’s research profile. Requirements: Applicants should possess a relevant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
applications for a Postdoctoral Research Associate position in the field of Analysis, broadly interpreted and including harmonic analysis, the analysis of partial differential equations, dynamical systems
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of linear and nonlinear algebra, vector and tensor algebra and calculus solution methods for coupled algebraic equations, partial and ordinary differential equations, integro-differential equations
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Partial Differential Equations, Dynamical Systems, Optimization, Scientific Computing, Complex Systems, and Network Science. Spanish language skills are not required. Our working language is English. Both
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contribute to undergraduate and graduate teaching in areas such as Numerical Methods, Ordinary and Partial Differential Equations, Dynamical Systems, Optimization, Scientific Computing, Complex Systems, and
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Position Description Position Description The Department of Mathematics invites applications for a senior faculty position in Complex Geometry and Partial Differential Equations at the rank
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complements departmental strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, probability, logic, formal methods, and experimental mathematics will be given
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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