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. Previous experience in computational modelling, air quality or psychology is desirable. The Research Project The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects
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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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Cardiometabolic diseases (CVMD), such as heart disease and type 2 diabetes, represent a major global health burden and exhibit stark ethnic disparities. Current clinical prediction models, even
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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the corrosion of reinforcing steel, which compromises safety, durability, and sustainability. Current corrosion prediction models often fall short because they rely on oversimplified assumptions and
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of realising an optical-pump TeraHertz-probe polarisation-resolved near-field microscope, this PhD research programme will look at combining spintronic THz emitters and near-field photoconductive probes
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interactions with potential pathogens. To achieve this objective, we will use the genetically tractable model fungus Zymoseptoria tritici. This fungus also causes Septoria tritici blotch (STB) disease of wheat
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aims to determine the link between lipid remodelling, antimicrobial resistance and intracellular survival using B. cenocepacia as the model organism. The project is supervised by Professor Yin Chen
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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits