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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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. This PhD project will develop a Confidential and Explainable AI framework for EV charging networks. You will explore cutting-edge techniques such as privacy-preserving analytics, Trusted Execution
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analysis, threat modelling, and proof-of-concept demonstrations, the research will identify and map vulnerabilities that may impact both individual investors and global financial stability, as
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imaging, laser-Doppler imaging, transcranial Doppler ultrasonography, collecting/handling blood samples, and ex-vivo/in-vitro analysis of serum, plasma and monocytes. Good Clinical Practice certificate and
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strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic
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-Allah and Dr David Sawtell, which has been developed through a Royal Society Research Grant and a proof-of-concept fund to further investigate new methods for improving the energy efficiency of the plasma