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and share research findings with colleagues in partner institutions, and research groups. You must be working towards a PhD in molecular imaging and experience working with PET imaging. Experience with
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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, expensive, and complex equipment, limiting their widespread use. This PhD project aims to overcome these barriers by developing a new silicon‑based photo‑modulator capable of delivering faster imaging speeds
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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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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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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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(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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diffusion and functional MRI data, in typically and atypically developing populations through the lifespan. About the project: Using Magnetic resonance imaging (MRI) we are able to assess how brain regions
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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