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This 4 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Topun Austin starting
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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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systems able to make extremely high time frequency images of roots in situ in the field (https://doi.org/10.1093/jxb/erac427). The entire, multi-person project will interpret the dynamics of root properties
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
A four year PhD with integrated studies is available in the High Temperature Research Centre, School of Metallurgy and Materials under the supervision of Prof Nick Green and Prof Roger Reed, with a
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Molecular Rheumatology, Trinity Biomedical Sciences Institute, TCD (https://rheumatologytcd.com) is seeking to appoint a PhD student to perform research focused on identifying molecular pathways
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the Cambridge Brain Tumour Imaging laboratory is a unique laboratory involved in using imaging and other techniques o guide and improve surgery. This project is funded through the NIHR HealthTech Research Centre
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. Natural circulation loops (NCL) will be an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image