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CNTs via CVD using varied catalyst formulations and growth conditions. Characterize CNTs using Raman spectroscopy, SEM/TEM, and elemental analysis. Investigate the influence of catalyst impurities (e.g
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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life-cycle analysis, GasTurb/PyCycle/NPSS, and CoCip is preferred Excellent written and verbal communication skills[AR1] is preferred. To apply, please contact Dr Eastwood - david.eastwood
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