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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is predicted to become a primary
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fields of science and engineering like light weight design, engineering, medical applications, dampers, energy absorbers, thermal management, artificial intelligence and many more. The proposed topic
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PhD Studentship - Extending the Chemical Space of mAb Based Cancer Treatment with DNA Nanostructures
the Institute for Life Sciences (50%) and the Medical Research Council (50%). Due to funding restrictions this position is only open to UK applicants. Administrative contact and how to apply: Please complete
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a medical diagnosis based on a similarly spurious rule such as visible marks left by medical previous treatments . It is therefore difficult to ensure that the models we train are reliable
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-ray hardware. Successful execution of the work will contribute to the wider realisation of AM in advanced engineering, and the development of new X-ray inspection methods. Additive manufacturing
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for imaging and therapy in medicine Applications are invited from suitably qualified and motivated candidates for an EPSRC CASE PhD studentship based in Chemistry at the University of Southampton, in
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is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer
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challenges facing laser scientists, motivated by the needs of a growing number of applications in areas such laser processing of materials, medicine, sensing, defence and quantum technology. Traditional