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exciting opportunities for knowledge exchange and networking with world leading ocean scientists. For example, you will help linking the observational data to new model simulations being developed
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Start date: 1st October 2025 GenAI-Accelerated Kinetic Modelling of Catalytic CO2 Valorisation Applications are invited for an EPSRC-funded project available from October 2025, to work under the
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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the pathogenic mechanisms of amyotrophic lateral sclerosis (ALS)/frontotemporal dementia (FTD) using in vitro & in vivo (mouse and fly) models. We develop stem cell-based models for these neurodegenerative
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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modelling of NCLs within industry employs System Codes, which rely heavily on empirical and scale-dependent correlations obtained via experimentation. Unsteady Reynolds-averaged Navier-Stokes (URANS
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understanding of the flow features and behaviours which develop within NCLs and provide highly valuable validation data for the development of effective and efficient simulation tools. The student will be
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models to simulate mobility scenarios, assess policy interventions, and guide sustainable transport strategies. Redesigning Urban mobility in 15 minutes context – Designing a systems approach and AI
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to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing