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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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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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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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, spectroscopy, and battery testing equipment. You will also spend time working directly with Innospec, gaining valuable industrial experience and insight into catalyst development and applications. We are seeking
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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