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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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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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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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mechanical fatigue—individually and sequentially, followed by electrical breakdown testing to assess their impact on the dielectric performance of the material subsystems. The target is to develop a
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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
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for the first time in 2024 after a 50-year search. The transition holds great potential as a next-generation clock, outperforming atomic clocks by orders of magnitude. A major goal is development of a
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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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systems, and infrastructure development, contributing approximately £100 billion to the UK’s GDP. While emerging 3D printing (3DP) technologies offer promising opportunities for product individualization
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well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS