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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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—quality post-graduate research development and training environment of the University of Nottingham. This PhD scholarship is offered in collaboration with the UKRI funded transdisciplinary hub
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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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, professional and self-dependent work attitude is essential Experience of working within the industry will be an advantage The ability to produce high-quality presentations and written reports This is an
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essential ◾Experience of working within industry will be an advantage ◾The ability to produce high quality presentations and written reports This is an excellent opportunity to work on a novel robotic system
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diffraction (EBSD), transmission electron microscope (TEM) and in-situ micromechanics. This project will involve manufacturing trials, workpiece surface quality analysis (e.g. metallurgy, integrity, residual