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reactors, with particular emphasis on statistical methods, uncertainty quantification and machine learning to improve the accuracy and computational efficiency of fuel-performance analyses. The work
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electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and
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, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as
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computing involving large datasets from simulations or measurements, including the use of high-performance computing resources. Rules governing PhD students are set out in the Higher Education Ordinance
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performance in laboratory column experiments and pilot-scale lysimeter systems using real PFAS-contaminated soil and groundwater. Requirements To meet the entry requirements for doctoral studies, you must hold