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Machine Learning Methods for Autonomous Robot Navigation, Localisation and Pipe Inspection School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova
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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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the development of new numerical strategies, e.g. pioneering the use of the Extended Finite Element Method in the prediction of delamination in composite structures (Curiel Sosa et al., 2018). This will permit you
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on a number of studies related to mesothelioma, including qualitative research exploring the support needs of family carers, a mixed methods study exploring factors influencing treatment access and a
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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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Experience with the use of Finite Element Methods in modelling acoustic problems (assessed at: Application form/Interview) Essential Application and Interview Experience with Python or Matlab or any other
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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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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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. The successful candidate will contribute to the development of a software framework for optimization-driven structural design. The methods developed will be designed to overcome the limitations of current topology
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Simpson Application Deadline: Applications accepted all year round Details This project will use a variety of digital methods to identify the many women, both European and African, who assisted and enabled