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to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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on performance and funding availability) to develop finite element stress change models that evaluate the impact of interseismic, coseismic and postseismic deformation following sequences of large earthquakes
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have an excellent PhD in biomechanics (or a related discipline), possess a solid knowledge of non-linear finite element modelling, have a strong experience in developing and validating patient-specific
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characterisation of carbon fibre composites, spanning temperatures from room temperature to liquid hydrogen temperature (20K). Development of a finite element model of carbon fibre composites to incorporate rate and
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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. The central aim of these projects is efficient computational method for wave propagation on complex geometry. We will use a novel and unconventional finite element method based on the Galerkin difference
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demonstrate these in their application materials Familiarity with numerical methods for PDEs (e.g., finite difference or finite element methods) Experience with tissue simulations and/or HPC is a plus Interest
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signals design and processing, and mutlitmodal sensing. The project welcomes expertise in robotics, serial communication protocols and microprocessors, signal processing, and finite element modeling, and