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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
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genetic backgrounds with a high level of genetic instability. This project will look at how specifically the individual genetic changes of these rare tumours combine together with environmental influences
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/postgraduate/phd/apply/applying References References Katunin P, Zhou J, Shehata OM, Peden AA, Cadby A & Nikolaev A (2021) An open-source framework for automated high-throughput cell biology experiments
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/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
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-based sensing. This PhD project offers the opportunity to design and develop innovative optical measurement instrumentation based on one or more of these themes, evaluating their performance across
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and will apply knowledge and understanding that has been developed in the field of human skin/surface friction. The aim will be to further develop analytical models that predict frictional performance