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Field
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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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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3 - covering a full PhD programme
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part
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entry requirements for our PhD programme . How to apply Please navigate to this page , where you can find more information on how the project sits within the sponsor organisation and in the university
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We are inviting applications for a fully funded PhD place, which will be supervised by Dr Joanne Cormac of the University of Nottingham's Music Department, for three years, starting on 1 October
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, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering fully funded, multidisciplinary PhD
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and eventually inspire the innovative design of quiet airfoils by tuning the elasticity of trailing edge. Requirements: The candidate will have a 1st class undergraduate or Master’s degree
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School of Engineering Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the School of Engineering. Eligibility: PGR applicants in the School