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all year round Details Project details: Artificial Intelligence (AI) has been shown to be important in obtaining ‘big data’ from whole slide images (WSI) and offers unique opportunities for automated
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an understanding of the chemistry, physics, and fluid dynamics of these systems whilst developing novel imaging approaches to study their behaviour. The project will see the student working with academics with a
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the simulated EIS data and that collected from tissue-engineered constructs. Finally, a prototype decision support system dedicated to the EIS based oral cancer diagnosis will be produced based on the machine
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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. Characterise the effect of Ect2 depletion on PDAC cell proliferation, division and migration 2. Understand how mechanosensitive signalling regulates Ect2 localisation and activity 3. Image the localisation
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story
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of Sheffield. The successful candidates will take forward methodological research in the physics and engineering of magnetic resonance imaging for hyperpolarised 129Xe, and will be based in the POLARIS group
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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in normal fibroblasts and CAFs. More specifically, the student will aim to: 1. Image ERK, NF-κB and STAT dynamics in response to the application of multiple growth factors in fibroblasts derived from
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used in human research.This role is not limited to Sheffield, there is opportunity to travel to London and collaborate with scientists at the Centre for Advanced Biomedical Imaging, UCL and beyond