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flow characterisation Nanoparticle synthesis and drug delivery systems Cell culturing and in vitro biofilm modelling Collaborative research across engineering, chemistry, dentistry, and microbiology
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of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied mathematics, physics, engineering or subsurface flow modelling. Enthusiasm
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to: build predictive spatial models for VME distribution and resilience under current and future climate scenarios; define and quantify functional traits of VME taxa; identify key functional groups, map
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non-relapsing secondary progressive MS – a subgroup currently lacking effective treatments. The work will include • Experimental animal handling and phenotyping (EAE models) • Flow cytometry, histology
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processes in flow batteries. This project focuses on developing physics-based models of electrochemical double layers and their spectro-electrochemical characterisation, contributing to fundamental
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Theoretical models for gravitational wave signals emitted by coalescing compact binaries are the cornerstone of modern gravitational wave astrophysics. Among the most pressing challenges
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of the modern age. What if there was another way? What if we could utilise the very land that lies at the foot of wind or solar farms? By pumping water into a sealed flexible membrane under a mass of soil we can
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during continuous shearing, which impacts wind turbine foundations, underground pipelines, pharmaceutical manufacture, among others. Sand is the most ubiquitous engineering material on earth, yet research
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uncertainty on the energy yield modeled during the design of the wind farm, increasing the risk for wind farm operators. To reduce this, additional insights are needed. In this PhD, the main focus will
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parameters (build orientation, resin choice, post-processing) and aerodynamic performance in wind tunnel tests. Develop an integrated performance model linking process data, 3D metrology, and wind tunnel