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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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. This PhD project aims to predict what these gigantic waves look like when they appear in the middle of the ocean, where many nonlinear effects take place, such as Benjamin-Feir Instability, spreading
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
computational research in Birmingham that has described and quantified the effects of oxides on material reliability, developed methods for prediction of their formation and rules for avoiding their occurrence
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established polymers with novel biodegradable entities with appropriate performance and cost is a significant challenge, requiring the ability to predict whether candidate molecules would be broken down by
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on the solar panels of the Opportunity (MER-B) rover following a dust storm, after 14 years of operation, led to the loss of the instrument. Therefore, predicting the onset and evolution of these dust storms is
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predictive maintenance. Gas turbine diagnostics and prognostics has been progressed quickly in recent years and are crucial technologies to predict the health of gas turbine systems and support the predictive
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, tasked with microstructure characterisation to inform the model and with performance testing to validate the model predictions. Together, the team will evaluate the empirically and computationally obtained
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that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire braiding platform, the PhD work will pave the way for next-generation ultra-high speed
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply