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Working knowledge of quantitative analysis and statistical methods Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in
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biological materials. The development of novel computer-vision-based techniques for contactless detection, quantification, and prevention of sport injury. The development of robotic humanoid simulator and
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to understand the risk of these abundant pollutants in the context of other co-occurring environmental stressors. The influence of ocean warming on the biouptake of nanoplastics will be explored under simulated
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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two industry placements at Spirent, use high-tech simulation equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international
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, damp, ventilations). We will use these simulations to propose real-life measures to improve living and working conditions. Such measures might be recommendations on how to design or retrofit indoor
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-performance computing and simulation-based inference (e.g. neural network emulators or nested sampling) Training will be provided in all aspects of the project, including computational statistics, stellar
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or simulation skills are expected. Industrial experience is desired but not mandatory. What we can offer you The opportunity to develop your career at a world-leading institution The opportunity to engage with
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of barrier winds off East Greenland using new wintertime observations from a research cruise. Carry out numerical weather prediction simulations of barrier wind case studies with the observed sea-ice
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-of-the-art flume laboratory, use advanced CAESAR-Lisflood models to simulate entire catchments, and deploy field monitoring equipment to measure potential flood reduction or amplification. This project offers