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project, we will analyse the dynamical processes driving tropical atmospheric rivers, their interactions with low-pressure systems such as monsoon lows and tropical cyclones, and the skill of the Met Office
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financial economics. You will work at the frontier of interdisciplinary research, using high-resolution flood models alongside property data to build a dynamic picture of where flood hazards are concentrated
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small elements of computational chemistry (electronic structure calculations) to help interpret experimental observations, supported by local and national supercomputing facilities. Entry Requirements
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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded UK
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(daniel.booth@nottingham.ac.uk ). Team Booth are leaders in the development of advanced cell biology imaging tools and applying them to address important biological questions centred on chromosome biology and
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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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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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Type of award Studentship Managing department School of Social Sciences Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) A research training support grant Specified
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School of Engineering Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the School of Engineering. Eligibility: PGR applicants in the School
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Project Supervisor - Dr Jonathan Kirby The field of complex numbers is in many ways the most elegant and important example of a mathematical structure in model theory. It has been the prototype