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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end
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Funding Source: Warwick Industrial Fellowships Sponsor Company: Electronic Arts Stipend: £19,237 (increasing annually ) Eligibly: Home students Start Date: July 2025 Project Page – Centre Project
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materials. The computer modelling of LSP remains challenging due to its multi-physics and multi-scale nature. The dependency of the process on the shape of the laser pulse, its energy, ablation layers etc. is
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
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level Nature 597, 493 (2021) . However, current devices require precise resonant signals in the visible range, limiting practical use. Our approach overcomes this by using optomechanical coupling
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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level Nature 597, 493 (2021) . However, current devices require precise resonant signals in the visible range, limiting practical use. Our approach overcomes this by using optomechanical coupling
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
exclusion chromatography and nuclear magnetic resonance (NMR) spectroscopy to monitor degradation in real time. The PhD research will expand on these findings by investigating the biodegradation of additional
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or surface plasmon resonance), mass spectrometry, analysis of protein structures or enzymology • Be able to demonstrate a high level of expertise and success in the previous research areas, e.g. by