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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Territory 2601, Australia [map ] Subject Area: nonlinear partial differential equations and harmonic analysis Starting Date: 2025/11/05 Salary Range: $87,135 - $134,507 per annum plus 17% superannuation Appl
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-represented backgrounds. The objective of the research project is to perform Bayesian inversion to characterise the velocity field of 3D partial differential equations describing brain fluid and solute movement
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A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
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discipline with a strong mathematical component A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills
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functional and harmonic analysis, partial differential equations, mathematical physics and probability theory. Candidates may suggest specific research topics or potential supervisors in their application
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matrices, stochastic differential geometry, stochastic partial differential equations, Malliavin calculus, and related topics in analysis and geometry. Qualifications Applicants should hold a PhD degree in
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Okinawa Institute of Science and Technology, Analysis and Partial Differential Equations Unit Position ID: 3260-POSTDOC [#26877] Position Title: Position Type: Postdoctoral Position Location: Onna
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to pure mathematics, with training in random geometry, stochastic partial differential equations, free probability or quantum dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel
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, mathematical physics, mathematical statistics, number theory, numerical analysis, optimization, partial differential equations and topological data analysis. Currently, there are about 25 graduate students