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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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degree (or overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics, Engineering) or Archaeology where candidates have strong evidence of skills in experimental analysis
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second-class undergraduate honours degree in Engineering, Physics or Materials Science Excellent English written and spoken communication skills Being passionate about science, curious, and self-driven
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This is an exciting opportunity to undertake industrially linked research with the Laser Processing Group at the Manufacturing Technology Centre (MTC) and the Advanced Materials Research Group
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-performance computing, simulations, and computational methods in physical sciences. Informal enquiries should be directed to the project supervisors, Dr Cillian Cockrell (Bangor University, NFI – c.cockrell
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screen-printing techniques for conductive materials, chemical functionalization processes for electrode-to-sensor conversion, and electrochemical data analysis. Additional training includes electrode
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(Materials Science, Chemistry, Physics, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all