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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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for downhole milling tools. Conduct Finite Element Analysis (FEA) of cutting mechanics under downhole conditions. Support design and validation of prototype tools using the company’s bespoke instrumented test
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skills. You’ll have strong skills in Finite Element Analysis (e.g. Abaqus, ANSYS), an understanding of machining processes, and a proactive, collaborative approach to problem-solving. The University
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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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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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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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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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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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we are looking for someone who: Holds a PhD in Earth Science, Civil Engineering, Mechanical Engineering, or a closely related discipline. Has experience in finite element modelling of coupled hydro
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relevant data generation, analysis, and pre-/post-processing. Knowledge of principles and techniques in computational mechanics and mechanics of materials, with a focus on finite element analysis of large