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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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mechanics: - The analysis of friction welding machines and the friction welding process. A major industrial project focuses on the determination of key process variables in production linear and inertia
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to make a significant leadership impact within their academic unit and
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of crystallization and glassy dynamics. In collaboration with theorists Prof. Juan Garrahan (UoN) and Prof. Kranthi Mandadapu (UC Berkeley, USA), the project will build on previous work [J.G. Downs et al PRL 127
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for independent research into the prevention and treatment of skin disease. You will join a dynamic and friendly team of approximately 20 staff and work with a range of clinical and non-clinical academics
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processing. The post is offered on a full time (36.25 hours per week), fixed term contract until 31st December 2026. About the team: This position offers the opportunity to work within a dynamic research group