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for success: A PhD in Mechanical Engineering, Materials Science, Physics, or a related field. Experience in computational mechanics, finite element analysis, and numerical simulations. A strong background in
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and carry out finite element method (FEM) simulations. Our developments focus on higher efficiencies, more cost-effective manufacturing processes and materials, improved long-term stability and new
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printing, rapid prototyping, Finite element analysis (FEA), Multiphysics analysis, Design for composite materials, material science Preferred skills/experience areas include: Finite element analysis
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loading conditions. Finite Element models of the designed specimens will also be generated and biomechanical behaviour of the tooth restored complex will be predicted. Supervisors Prof Hassan Ghadbeigi
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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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undergraduate and graduate students. Essential Functions Engineering design and structural analysis, sizing calculations, finite element modelling, and official engineering documentation in support of various
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current, relevant industry experience. Proficient communication and computer skills are a must. The ideal candidate will possess some or all of the following skill sets: Basic Finite Element Analysis
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and accelerated brain aging by coupling mechanics and neurobiology to create multiphysics-informed predictive models of brain health. Specifically, our approach combines finite element modelling and
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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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. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software