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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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characterisation facilities, offering exceptional opportunities to perform in-situ and high-resolution materials analysis. Leveraging these state-of-the-art research capabilities, the candidate will conduct high
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characterisation facilities, offering exceptional opportunities to perform in-situ and high-resolution materials analysis. Leveraging these state-of-the-art research capabilities, the candidate will conduct high
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opportunities to perform high-quality, impactful research. The project offers close collaboration with Baosteel’s Central Research Institute, and has the opportunity to travel to Shanghai, China. For further