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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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develop a new way to use an existing non-invasive treatment called photodynamic therapy for sarcoma treatment, using light and a drug called a photosensitiser to destroy cancer cells. It is an approved
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remarkable advances in generating ultra-short XFEL-pulses. Studentship: The PhD student will focus on developing advanced and state-of-the-art quantum-mechanical techniques in order to address these ultrafast
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to understanding the arts' social, cultural, and technological impact. Please note that PhD researchers on these studentships will have the opportunity to develop and enhance their employability and professional
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to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with
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formation, compromising the enhancements achieved through the use of TC intensification principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and
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that TEs fundamentally shape genome function and evolution by affecting gene expression, rewiring regulatory networks, and driving change in chromosome size and structure. In recent years, research
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therefore paramount, but traditional simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
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(LCMS, NMR) new covalent warheads with suitable reactivity and stability for application to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors