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, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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including the conducting of rating scales, taking research consent, and doing cognitive tests. The successful candidate will support Professor Hornberger in the administration of intervention studies
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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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collection. In addition, they will coordinate dementia research studies including the conducting of rating scales, taking research consent, and doing cognitive tests. The successful candidate will support
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advanced testing of thermal protection materials and emissions characterisation to support the design of cleaner deorbiting systems. You will work under the supervision of Prof. Minkwan Kim, collaborating
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scenario analyses to examine how noise might evolve across different technological and operational futures and how it interacts with emissions, policy options and airport‑level constraints. This is a key
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satellite products, in-situ observations, and climate model ensembles. Process understanding: Develop and test hypotheses about the variability and interactions of hydrological processes across scales
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excellent experimental skills. Knowledge and hands-on experience in active-doped silica-based fibre fabrication, spectroscopic characterisation of doped fibres, and the construction and testing of fibre
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in the recovery phase. Finally, you will work closely with the team to ensure that these diagnostics and experiments directly inform the development and testing of the project’s new climate modelling