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damage identification system. The current practice of visual inspection of bridges can be subjective and exposes the workforce to hazardous job sites. In recent years, there have been significant efforts
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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promising imaging technology is proton-acoustics, relying on detecting acoustic waves generated by proton-tissue interaction for real-time in-vivo 3D proton beam imaging and dosimetry. However, proton
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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modelling is desirable, as is a willingness to engage with experimental collaborators in a multidisciplinary research environment. How to apply Applications should be submitted via the Computer Science PhD
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PhD Studentship: SURVAI – Smart Urban Representation for Visual AI Infrastructure Management The project How can we build AI systems that understand entire cities, from satellite height to street
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resonances, caused by the neutron being absorbed by the target nucleus. Positions and widths of these resonances cannot be predicted and must be measured. This energy range is called the “resolved resonance
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme
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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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available, and resistance to established antivirals is a growing problem. The severity of HSV symptoms is a consequence of the battle between antiviral responses in the infected cell, and the ability of HSV