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methods, numerical analysis for stochastic PDEs, numerical analysis for multiphysics problems that couple different types of PDEs for waves, heat, elasticity, flows, etc. The duties primarily involve
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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numerical optimisation, matrix calculation, linear regression and the development of mathematical models and quantitative methods for the optimisation of industrial production, for the management
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to contribute to research on hybrid numerical-exponential asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher's mission will be to study, using numerical methods, nonlinear propagation in
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven