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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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energy. Determining the intricate structure of the polycrystals is a laborious and restrictive task, and only a handful of measurement techniques are capable of fully imaging material microstructure. Laser
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laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be
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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
(e.g. immune processes, microbial species growth rates). For example, microbial colonies in lower human airways differ from those found in upper airways due to the latter’s exposure to external
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spatial data science to create an enhanced property information database analysing a combination of geospatial data that are available online. We will investigate whether openly available images, from