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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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. They will use dipolar approximation or finite element methods to assess the optical response of a large number of nanoparticles, and evaluate their performances as OPUFs (like inter/intra-HD, encoding
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with Finite Element Analysis, measurement equipment and experimental work. Specific experience with biomechanics is a plus. Applicants should have excellent oral and written English communication skills
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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of custom written codes and the use of commercial finite element software and user subroutines that will deliver novel solutions for virtual manufacturing methods. The appointment will be at Research
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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and specialist in the areas of composite materials, structural mechanics, optimisation and finite element analysis. Apart from computational expertise, the role holder will also be comfortable in
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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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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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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