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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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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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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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The position: Soil ecosystems are vital for planetary health. They are susceptible to global change and play a key role for feedback mechanisms related to climate change. We are searching
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students and a computational biologist and play a key role in advancing our research efforts, focusing on the molecular mechanisms of jellyfish rejuvenation. You will use low-input next-generation sequencing
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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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, some times for an extended period of time. It also requires providing support to newer and less senior members of the team as and when it happens. Key Requirements: You’ll have a PhD in mechanical or
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A first class or upper second class MEng/MSc or PhD in Mechanical