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Field
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of the following topics is essential for this position: differential equations, operator spectral theory, linear vector spaces, differential geometry, boundary-value problems, Green's functions, variational
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of models. Experience in analytical and quantitative methods, such as deterministic and stochastic differential equations, integral equations, nonlinear dynamics, probability theory, and stochastic processes
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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
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remaining. ● Strong background in the development and/or application of numerical methods for partial differential equations. ● Experience in implementation of numerical methods. ● Interest and experience in
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(PINNs), Biologically Informed Neural Networks (BINNs), and sparse-regression based techniques to derive interpretable and computationally efficient differential equation models from computationally
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: information theory, digital communication, signal processing, applied mathematics (particularly, nonlinear dispersive partial differential equations), neural networks, optical fiber communication, or photonics
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, United States of America [map ] Subject Areas: Computer Science Machine Learning Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Appl Deadline: none (posted 2025/08
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, integro-differential equations and dynamical systems. This postdoctoral scholarship is financed and administrated by The Kempe Foundation (JCSMK25-0036). The stipend is tax-free and will be 750 000 SEK
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, differential equation-based models and/or Bayesian phylogenetics. The annual base salary range for this position is from $77,976 to $95,014, and pay offered will be based on experience and qualifications
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). A deep foundation in advanced mathematics, including differential equations, linear algebra, tensor calculus, and group theory; and the ability to use these for formal, mathematical reasoning