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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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studies. Proven experience preparing ethics applications and writing research reports Strong time management and organisational skills, with attention to detail, ability to manage multiple complex tasks
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systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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complex public health issue underpinned by a range of environmental, commercial, social, and cultural factors. Alcohol use amongst young people has declined over the past three decades, however there has
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are a category of food additives that are found readily available in the food supply. In animal models, emulsifiers cause inflammation in the gut, similar to that seen in Crohn’s disease. This project
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for dementia and sector-spanning models of care to improve quality of care and quality of life. Dr Ayton has a strong track record in health and social care research and methodological approaches including
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research