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investigates the thermodynamic modelling of chloride migration in concrete exposed to accelerated chloride ingress conditions, with particular focus on replicating and predicting the results of the NT Build 492
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sustainable catalyst platforms. This PhD project, Data-enhanced Quantum Chemistry for Predictive Catalyst Design, aims to Develop computational approaches for the discovery of sustainable catalysts based on low
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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, and presentation skills • Excellent command of written and spoken English, demonstrated ability in technical writing, including preparation of reports, theses, or scientific publications • Knowledge
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EQUAL OPPORTUNITIES EMPLOYER Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher