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energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete Element Method (DEM) with the aim
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of protective immunity. This project will provide new insights into mechanisms of immunity deployed against this notorious human pathogen. Emerging evidence suggests that a critical bottleneck that has faced
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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of offshore wind energy research. The group is a multidisciplinary team with experience and expertise in the fields of geotechnical engineering, field and laboratory testing, grain-scale mechanics and numerical
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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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biology, and immunology with therapeutic design and preclinical validation. The work will be carried out in a collaborative and multidisciplinary lab environment with expertise in antimicrobial mechanisms
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understanding the risk mechanisms that underlie the differing profiles (and course) of depression to inform more targeted approaches to prevention and treatment efforts. Emerging evidence suggests that weaknesses