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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical
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, which are essential for safe operation in these challenging aerospace environments. You will develop robust, physics-based models to analyse failure, with a focus on understanding mechanical and
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on the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Click the 'Apply' button below to register
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
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University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a
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learning (ML) techniques to gain new physical insights into fundamental questions about viscoelastic flows in both canonical configurations and porous media applications. ML techniques will be leveraged
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need