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societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT
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for advanced modelling (e.g. panel data analysis, multiple regression, AI-enabled forecasting, geo-spatial technique, python and advanced coding skills). Examples of tools include Brightway, Open LCA, SCEnAT
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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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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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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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Ridge National Laboratory) with the possibility of working on a placement. The PhD project will develop software to interface with the high impact and widely used GEANT4 code. A validation of the
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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
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Deadline: Applications accepted all year round Details During the past two decades, blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) has become the scientific technique
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received into the team ensuring these are administered within appropriate timescales. Answer calls promptly and politely, creating a positive and professional impression of the University and providing