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group working on cutting-edge research on turbulent reacting flows utilising the advancements of high-performance computing. The project is funded by the Engineering Physical Sciences Research Council
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for an ethusiastic individual to join our fast-paced interdisciplinary research team based in the School of Engineering. The “BEWISe on trickling filter process emissions ” project will involve working with Professors
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neuroimaging software, without the need for a graphical interface • For applicants with an MRI background, you will have at least a good working knowledge of MRI physics • For applicants with an M/EEG
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subject, such as chemistry, physics or materials science A Ph.D. in the field of computational chemistry or materials science or a related discipline is essential for appointment at associate level