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the EPSRC. The project also involves groups at Bristol, Oxford, Newcastle, Leeds and Warwick and aims to develop computational methods to study photo-initiated molecular dynamics. The project also has a focus
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engineering. Such changes can often be informed through mechanistic understanding of the destabilising processes. About the role This industry-sponsored project will explore molecular dynamics simulations
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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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analysis, and machine learning. The successful candidate will join the dynamic and collaborative research environment of the CRUK Beatson Institute, working with a diverse multidisciplinary team of computer
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localisation regulating synaptic plasticity of adjacent neurones in health and disease Supervisor: Ilan Davis Project description: Synaptic plasticity is the key molecular process that regulates memory and
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and biased ligands. You will then explore more fully such effects and mechanisms of activation using molecular dynamics simulations. Using informatic searching the student will then search for further
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on estimation of parameters relevant to dynamics and control using innovative statistical methodologies. The advent of new sequencing technologies will revolutionise the way we study epidemiology, particularly
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molecular magnets, plasmonics, battery technology, medical imaging agents and applications for 3D printing. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years
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management of viral infections structural biology/cryo-electron microscopy and viral evolutionary dynamics molecular virology to in vivo pathogenesis virus-cell interactions viral immunology viral ecology
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function. This project will build upon ongoing work in the lab to resolve the molecular mechanisms driving stomatal clustering using Begonias and to implement this knowledge to engineer stomatal patterns