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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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scientists, cell biologists, bioimaging specialists and physicists, as well as a postdoc with a specific background pitcher plant development, transcriptomics and bioinformatics. Supported by this expert team
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research group with a broad interest in plant biomechanics, ecology, development and evolution. A supervisory team comprising a plant scientist, a cell biologist and a physicist, as well as two postdocs with
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changes (so called swelling). Swollen batteries are at risk of rupturing which may significantly shorten their lifetime. Development of advanced computer models is critical for understanding and
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to a wide range of materials, making impactful tools for the scientific community. The models and predictions in the project will be tested against real experimental data and used to drive the design of
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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at the point of commencing this post, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally
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cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop