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address this challenge through quantifying the conditions under which geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory
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AstraZeneca and Newcastle University , will develop predictive models for pharmaceutical manufacturing and provide access to industrial data and high-performance computing facilities. You will gain expertise
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importance when predicting the behaviour of fuel during LOCAs. The project will aim to achieve the following: A thorough literature review on the state of the art of fuel performance codes with a particular
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that integrates satellite-derived embeddings with hydrodynamic simulations for real-time flood prediction anywhere in the UK. Research questions focus on learning shared representations, replacing expensive
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D'Souza ([email protected] ). Please read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows to predict
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI