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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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, detection, localisation, etc.) Reconfigurable/programmable radio environments and system/network-level antenna design Theory with guarantees (convex/non-convex optimisation, performance analysis, machine
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, data analysis, and scientific writing and communication. Experience in working in an optics lab and programming in Python will be beneficial but is not necessary. Applicants should have, or expect
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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