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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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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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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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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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. 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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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
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; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
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Application/Interview Strong background in semiconductor device design and/or simulation, including photolithographic mask layout Essential Application/Interview Experience of 3D finite element modelling (FEM
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finite element and ray tracing techniques Experience with optical and electrical characterisation Experience with fabrication of light management structures (e.g. AR coatings, Bragg reflectors, photonics