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Field
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Mathematics, Applied Mechanics, or related disciplines (a minimum honours degree at UK first or upper second-class level) Experience in computational fluid dynamic/finite element modelling by using commercial
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond
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scientific computing, to name a few. Modern LC applications rely heavily on accurate and efficient mathematical modelling of confined LC systems. Typical questions are - can we theoretically predict physically
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-home rates. You will learn a wide range of molecular modelling techniques, as well as collaborative software development and computational skills providing expertise for a broad range of future careers
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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PhD studentship: Predictive Modelling of Powder Blending in Continuous Direct Compression for Pharmaceutical Tablets Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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computational modelling of evolutionary dynamics to propose new therapeutic strategies for adaptive intervention Where to apply Website https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-application