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their properties, as well as develop ways to manipulate and advance the nano-assembly processes. You would also be involved in scale-up on roll-to-roll pre-pilot kit, to explore applications for these advanced
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for an International Doctoral Scholar award. Phase discrimination using resonant ultrasound spectroscopy The microstructures of steel are sensitive to small variations in composition and the conditions experienced
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. Stipend: Full funding for 4 years covering a personal maintenance stipend starting at £21,500 per annum and the University Composition Fee. Fees: These positions are open to UK citizens or overseas students
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. This PhD will utilise thermodynamic modelling to obtain predictions of equilibrium and, where possible, non-equilibrium phases for a matrix of compositions covering flat rolled products including elevated
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optimisation The reliable production of EAF processed steels requires a robust understanding of the kinetics of microstructure formation and how they are influenced by compositional and processing variations. In
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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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, optoelectronic, neuromorphic; Scale-up and Systems - Nanomanufacturing, cellular manufacturing, sensors /actuators, bioelectronics, IoT, theranostics; Frontiers in Nano-Metrology - in-situ nanometrology, electron
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship