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and behaviour. With state-of-the-art MRI, PET, and EEG facilities, the CNS provides a dynamic environment for investigating the neurobiological mechanisms underlying mental health and the effects
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD project offers an exciting opportunity to develop next-generation biocomposites made from
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. The primary objective of this project is to investigate the transport, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with
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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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for metabolic disorders such as diabetes and obesity. However, their efficacy and safety in humans remains unexplored. This PhD programme will seek to take the first critical step towards clinical translation
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candidate will have an excellent PhD in mechanical engineering, experimental biomechanics, or a related discipline, possess a solid knowledge of solid mechanics, and have a strong experience in high
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) PhD Research Project Directly Funded UK Students Dr Ayse Kucukyilmaz Application Deadline: 31 January 2026 Details This project has industrial collaboration, and is co-supervised by a member of staff at
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Resistance Mechanisms (10384) 24m Fixed Term Technicolour Intracellular Space - Potential Mapping Using 4D STEM (10385) 24m Fixed Term Projects Keywords: Inverse Problems, Computational Imaging, Electron