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rest, will be combined with detailed in vivo human physiology techniques in healthy volunteers. Methods may include stable isotope tracers, blood and muscle biopsies, imaging (ultrasound, MRI, DXA), and
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- 4.0 °C. Use the results to from (3) to form prototype estimates of the buffer pool sizes required to insure against future fire risk in carbon projects, tailored to regions. Person specification We
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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to constrain the depth of the magmatic pressurization source (5). Training The candidate will gain skills in seismic data processing, tomographic imaging, and numerical modelling. Travel opportunities include
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data-driven approaches, multi-scale model development and software development depending on the interest of the successful applicant. Big picture: The Tarzia Research Group (https
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platforms, enable light manipulation for next-generation ultrafast applications in spectroscopy, sensing, and telecomms. Ultrafast lasers drive innovations from quantum technology to medical imaging, yet
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more sensitive and faster cancer imaging. This PhD project will focus on surface functionalisation of metascintillators to optimise their scintillation performance, light yield, timing resolution, and
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stacking error and removes the options for easy disassembly for repair, replace or recycle. In this project modification of the cell end cap design is to be investigated through FE analysis, prototype build
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements