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computing protocols known to work with similar plants. Training will be provided as needed and some degree of flexible working is expected to permit this. Data gathering and analysis will be done during, and
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studies to aid in the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which
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. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use anthropogenic approaches and cutting
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to be probed by a combination of theoretical analysis and reverse engineering, in particular for operations that involve inputs and outputs in different formats. Currently, this probing must be done
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a comprehensive analysis of the extensive Pulse dataset, uncovering latent patterns and taxonomies
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-specific alpha-synuclein A30P human mutation, we will employ electrophysiological techniques, RNA sequencing, proteomics, and histochemical analysis. The findings are expected to provide insights into early
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prehistoric explosive eruptions, such as St Vincent, Dominica and Montserrat. Use standard petrological analysis, together with Scanning Electron Microscopy (SEM)and Electron Backscatter Diffraction (EBSD
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based on the Aston Campus in Birmingham, UK. Background Membrane proteins are vital for cellular function and serve as key drug targets. Despite their importance, our knowledge of their biogenesis