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University of Strathclyde will lead the wind energy training and research elements of the programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area
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. Integrate experimental and modelling results to improve parameterizations of SIP in atmospheric models. Methodology 1. Experimental Work in a Cloud Chamber The experimental component will use a state-of-the
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integrating biological (transcriptome, proteome, physiology) and geochemical (trace element and isotopic ratios) data collected by the rest of the project team. Finally, we will explore the application
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has a dramatic effect on the fate of a component—a part may survive millions of cycles in vacuum and last only a few hundreds of thousands in air and much lower in actively corrosive environments
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considering various elements in the process. The integration of computer vision techniques in this project will also enhance the value of this work. The students will not only gain an experience and insight
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, underpinned by a critical mass of experts from both universities and beyond, with a strong component of soft-skills training through the 4-years, all enhanced by a cohort model that promotes early career
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to the characterization of metal nanostructures stabilised on defective graphene films Development of an automated 3D structure analysis software applicable for a broad range of scientific end users Skills that the student
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on sharpless asymmetric dihydroxylation of alkenes, and requires the use of toxic cyanide and metal complex catalysts, resulting in a host of by-products, therefore limits the development of the traditional