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, defensible datasets that can verify precious metal article authenticity. Greater data will enable smart approaches with assigned probabilities of authenticity to aid hallmarking practices. Partnering with
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conditions. This PhD project will seek to carry out the fundamental metallurgical research required to understand how elemental redistribution takes place between the constituents of repair brazes in
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of novel payloads and to engineering monoclonal antibodies. Yet one critical component (the linker) remains comparatively under-explored. Linkers govern the controlled release of potent payloads inside
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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EAF steels The transition to EAF steelmaking creates challenges for the reliable production of thin rolled steel poducts where residual element accumulation may compromise processability and properties
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building blocks to elicit properties far beyond simple averaging over the component materials involved, instead giving exciting opportunities for new functionalities that are not found in natural materials
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production processes and are actively exploring the incorporation of new materials, technologies and designs in their operations to achieve zero-carbon construction elements. The construction industry is under
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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems