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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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; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 22 hours ago
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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to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details will be removed from application forms
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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
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity