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to develop and analyse implementable, fully discrete methods for function approximation, density estimation, and/or time-dependent PDEs or SDEs in high dimensions, with links to UQ and theoretical
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project. Laser beam sources, process development and control to enable better control of mass transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project
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generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real
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protein synthesis platforms. These modified proteins will be studied for their biophysical properties, reactivity, and potential applications across chemical biology, therapeutic development, and
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(ESBMC, CBMC, Z3, or similar) – either academic or practical. • Programming proficiency in C/C++, Python, and familiarity with software verification tool development. • Understanding of ML/NLP fundamentals
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-thaw cell growth, which constrains many application areas. We have a major research interest in developing new cryoprotectants, which we achieve with bottom-up science, rather than only reformulating
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this to increase each year. The start date is January 2026 or April 2026. Exceptional overseas students are also encouraged to apply. Any force developed at the macroscopic scale can induce dramatic changes
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, the successful candidate will develop parametric microscale lattice structures capable of a wide range of mechanical properties (including auxetic and non-linear elastic response). Artificial Neural Networks (ANNs
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operation and stability limits. Models will be developed and different configurations will be compared. The successful candidate will have the opportunity to interact with GE Vernova’s engineering staff and
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-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation