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Join the College of Engineering and Physical Sciences at the University of Birmingham for groundbreaking PhD research that aims to improve quantum technologies! Metamaterials, which are artificially
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of the manufacturing process is not considered. The discrepancy between the as-designed and as-manufactured geometries may induce non-negligible effects to the predicted quantities of interest. Fewer studies have
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engagement in physical activity in children with attention deficit disorders Eligibility: open to UK students Deadline: 30th June 2024 Further details including full project description, eligibility
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Physical Laboratory (NPL). The researchers can also spend time on site at NPL and be part of the wider network between NPL, of Surrey, and the University of Strathclyde. A generous stipend is offered in
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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. However, modelling applications involving complex WSI accurately and efficiently, especially those associated with extreme marine conditions, is particularly challenging because these are multi-physics
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on the calibration of ordinary differential equations (ODEs) under an appropriate data generation process. The type of data we will consider can be interpreted either as a count of realisations of a random variable at
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ones. Integrable systems provide valuable models in fundamental physics, signal processing, wave dynamics, and other fields. The relations between continuous and discrete integrable systems also provide
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commercially available techniques, or developing novel approaches. You will be supported in developing the skills necessary to collect, process and analyse relevant data. The project will also include support
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Systems for Defence & Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort