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wide range of valuable and transferable skills. Ultimately, this research will deliver a new paradigm of intelligent robotic additive manufacturing, contributing to next-generation smart factories and
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, imaging and diagnostic). However, there is currently no generic, metrology-grounded AI/ML framework that fuses these heterogeneous data with physics-based models to create trustworthy, asset-specific
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chemistry, modelling, and scientific coding, and who are keen to develop these skills while contributing tools that advance the field and support clean growth and Net Zero technologies. Applicants should have
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-resolution imaging mass spectrometer. Calibrate sensitivity, quantification and spatial resolution using model samples/standards. Develop and validate and resonant laser ionisation pathways for selected
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offer a promising platform for: In-line biosensing of key bioprocess variables (e.g., pH, reactive oxygen species, redox potential, ion concentrations), and Intracellular imaging and tracking
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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systems? In this project, we will partially address these questions and study prototype LC systems e.g., LCs inside shells, cylinders, cuboids etc. within the celebrated Landau-de Gennes theory for LCs