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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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This project provides an excellent opportunity to develop state-of-the-art mathematical models and computational tools of emerging respiratory pathogens, within a world-renowned research group
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About the Project Applications are invited for a PhD position in “Probabilistic Artificial Intelligence” at the School of Mathematics, University of Bristol. Please visit the page below to see
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applications across the multi-billion dollar display industry, photonics, metamaterials, robotics, healthcare technologies etc. The mathematics of LCs is very rich and cuts across analysis, topology, mechanics
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD
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previously: the Khumbu catchment in Nepal, the Kangri catchment in Ladakh, and the Heihe catchment in the Qilian Shan. Using insights from these catchments, we will extend our analysis to cover all major
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 9 hours ago
performance. Throughout this PhD, the successful applicant will gain expertise in cutting-edge modelling approaches and experimental techniques including: Thermogravimetric Analysis (TGA) with Mass Spectrometry
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scientific data paper, to be released alongside or after the publication of the dataset; and Carry out a short, illustrative analysis to demonstrate the utility of the data (e.g. seasonal cycles). The student
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and competitions. The University of Bristol seeks an aspiring researcher with an engineering, physical sciences or mathematical background and an aptitude for practical implementation of cutting edge