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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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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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or desirable Stage(s) assessed at A PhD in Engineering, Physics or Applied Mathematics Essential Application Knowledge of modelling of sound propagation in waveguides (assessed at: Interview) Essential Interview
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, 20,000 infants and up to 20,000 partners. It brings together world-leading clinician scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together
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and Experience Essential: A PhD in Physics, Astronomy, Engineering, or a closely related subject. Experience with running experiments and working in a laboratory environment. Proficiency in coding in
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Undertake high-quality collaborative research to enhance CNI cyber security using machine learning. Develop and support simulation and benchmark environments for CNI. Design and refine realistic simulations
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at the University of Oxford. The Podium Institute sits within the Institute of Biomedical Engineering (IBME) in the University’s Department of Engineering Science and is supported by a £25m 10-year donation
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skills and experience: Essential criteria A first degree and PhD (or pending results) in Electronic Engineering, Communications, Networks, or a closely allied discipline Research experience in optical
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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific