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machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology & neurodevelopmental symptoms. The project is a 3 year position supported by the Great
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broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms. The project is a 3 year position supported by the Great Ormond Street Hospital Charity, and we would
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each
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Supervisor: Mehdi Saberi (msaberi.radiotherapy@outlook.com ) 3rd Supervisor: Ram Shanmugasundaram (ram@ukprotontherapy.co.uk) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship
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Pirashvili (mariam.pirashvili@plymouth.ac.uk) 3rd Supervisor Dr Sean James Fallon (sean.fallon@plymouth.ac.uk, tel.: +441752584836) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of