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to the prospective employee should include: • Strong background in structural engineering. • Background in numerical modelling for structural analysis using the finite element method. • Experience in computer
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming
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the Fourier Modal Method (FMM), Rigorous Coupled-Wave Analysis (RCWA), and the Finite Element Method (FEM). A numerical code will also be written to establish the correspondence between the reflection
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel
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Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
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of the ERC NEMESIS Synergy project (see https://erc-nemesis.eu/ ). The aim of this project is to build an integrated computing chain based on "Discrete de Rham" methods, the main feature of which is to
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or physics. It is a condition of employment that the doctoral degree has been awarded. Experience from the finite-element method is a requirement. Experience from computational structural dynamics is a
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computational models (e.g., Convection-Diffusion Equations, Finite Element Methods, Computational Fluid Dynamics) to investigate cerebral blood flow (CBF), neurovascular coupling (NVC), and neurovascular system
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of the fabricated fibers within optical networks. - Design of innovative hollow-core fiber structures using the finite element method. - Fabrication of specific optical fibers on a fiber drawing tower. - Linear
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someone with experience of running finite element models (FEM) of soft tissue mechanics. It is essential that the successful applicant can directly translate mathematical models to code (rather than