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Field
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physiology etc. This PhD project is suitable for applicants with a background in Electrical and Electronic Engineering or closely related fields. Candidates with a strong interest in RF engineering and/or
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Supervisory Team: Yongqiang Liu PhD Supervisor: Yongqiang Liu Project description: Emerging micropollutants, encompassing a spectrum from pharmaceutical residues and personal care products
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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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Supervisory Team: Prof Middleton, Prof Altamirano PhD Supervisor: Matt Middleton Project description: Black holes grow by accreting material through a disc which is bright across the EM spectrum
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sunlight absorbtion and create separated electrons and holes for redox reactions, particularly the photocatalytic coupling of benzyl alcohol to C-C coupling compounds with non-toxic and high selectivity
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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the award of fully funded PhD scholarship for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed heritage