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surrounded by high levels of environmental noise. For a decade we have been researching an ambient semiconductor based technology that yields single photons, particles of light, correlated with its spin
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sustainable, high-growth, blended protein bioeconomy. NAPIC’s efforts are structured around four key activity streams: • Research addressing critical innovation challenges. • A national alternative protein
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Hughes, Prof Lin Ma, Dr Janos Szuhanszki Application Deadline: Applications accepted all year round Details Computational Fluid Dynamics modelling is a powerful tool that, due to recent advances in
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performance. The proposed research aims to utilise advanced modelling techniques to develop a predictive model of chip formation and machining induced damage in machining of the produced parts. A range of state
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/weight ratio. Machining is a key operation to generate the required components using these materials and understanding and prediction of the process is a key factor to optimise the manufacturing and part
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell Application Deadline: Applications accepted all year round Details Neutrinos play a crucial role in our understanding of the...
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programme grant on hybrid energy storage systems for grid-independent EV charging stations and there will be significant opportunities for the successful candidate to interact with the interdisciplinary team
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and physiology. Significance Our discovery is significant because it suggests that plants can directly couple their development to their photosynthetic performance, bypassing photoreceptors. Nearly
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the performance and stability of AD sites. At household to institutional scale this is financially unfeasible and therefore it is of great interest to investigate the possibility of expert control systems for AD
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-01126-2 Purshouse RC, Deb K, Mansor MM, Mostaghim S, Wang, R. A review of hybrid evolutionary multiple criteria decision making methods. Proceedings of the 2014 IEEE Congress on Evolutionary Computation