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Qualification type: PhD Location: Essex Funding for: UK Students, EU Students, International Students Funding amount: All UKRI-funded PhD students (UK, EU, International) will be eligible for the
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MRC DiMeN Doctoral Training Partnership: Exciting PhD opportunity - Cracking the RNA Code of Inflammation: A New Frontier in Ageing Research MRC DiMeN Doctoral Training Partnership PhD Research
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this PhD, synchrotron X-ray diffraction will be used to track the evolving crystallography in steel samples over a wide range of cooling rates and isothermal dwells. The diffraction data will be interpreted
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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monitoring through considering a wider area of the floodplain. Repeated detailed topographical surveys using a differential Global Positioning System (dGPS) will be used to quantify changes in geomorphology
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, multidimensional datasets is transforming marine ecology and redefining how we detect and respond to ecosystem change. Methodology This PhD will place you at the forefront of this emerging field. You will address a
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven