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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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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
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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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range of reactivity, and particularly C-C bond formation. Directed evolution approaches will then be applied to guide the selectivity of the new enzymes towards target molecules and drug fragments
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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in the felt structure, making traditional regeneration or disposal techniques both technically and environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific
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. However, there are significant challenges to a broad proof of concept that would be addressed in this PhD project. Laser beam sources, process development and control to enable better control of mass
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing