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of the flow patterns over the interface. The project will involve close collaboration with the Chemistry Department at Edinburgh University, where molecular dynamic simulations of similar systems are being
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membranes to probe, sense or replicate cellular behaviours; and a deep-rooted understanding of the emergence and evolution of cellular processes at the molecular level. Background: While prebiotic pathways
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risk but is now being used for in younger patients with low surgical risk, raising concerns about its long-term durability compared to SAVR. Objectives: Understanding the fluid dynamics and biomechanical
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Biochemistry. Available project: Julien Prudent and Michal Minczuk Investigating how mitochondrial dynamics control mtDNA homeostasis and engineering tools to visualise mtDNA molecules Full details are available
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are being funded, one focussing more on the development of magnetic resonance methods to study the fundamentals of molecular transport and reaction processes in catalysts, while the other project focusses
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molecular hydrogen underground, to be recovered during periods of low renewables generation. Hydrogen storage is a relatively new area of research and is of increasing importance. For both carbon dioxide
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models and verification tools, suitable for deployment by library writers within the compilation toolchain, working closely with project partner, Arm. Research Group Our group consists of PostDocs and PhD
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://academic.oup.com/bjs/article/110/2/133/6677613 Candidates should have (or expect to obtain) a first or upper second class degree in molecular or cell biology or an allied subject. Applicants with relevant research
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. This will include extending recent work on the dynamic behaviour of piled foundations to account for layered soils. A range of semi-analytical and numerical models will be used. Simplified Models
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) the PhD student will work on to design of novel antenna systems and calibration techniques for application-specific solutions, meeting the need for high information and data volume and high dynamic range