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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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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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and Dohme, Prozomix and the Universities of Manchester, Bristol and York. The successful candidate will be based in the laboratories of Dr Jack Rowbotham and Dr Aaron Trowbridge in the Department
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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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This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the project is open to home students; the successful candidate will receive an annual tax free
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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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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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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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This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers the cost of tuition fees and a standard tax-free stipend (based on the UKVI rate which is