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desired skills include experience with human and animal models, tissue culture, expression analysis, molecular biology, advanced imaging of cell migration. Postholder will be responsible for maintaining
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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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Klenerman in the Yusuf Hamied Department of Chemistry, from October 2025 for up to 2 years. This is a collaborative project with Professor Clare Bryant in Clinical medicine and aims to image and characterise
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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desired skills include experience with human and animal models, tissue culture, expression analysis, molecular biology, advanced imaging of cell migration. Postholder will be responsible for maintaining
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that benefit everyone. The successful candidate will have a good understanding of image processing, multi-modal image registration, and ultrasound imaging. The post involves the development of software for fast
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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medical image analysis and natural language processing, with applications in cardiology within a global context. You will be responsible for the design and testing of bespoke AI models for cardiac imaging
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that benefit everyone. The successful candidate will have a good understanding of image processing, multi-modal image registration, and ultrasound imaging. The post involves the development of software for fast
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, including single-molecule imaging, biochemical and biophysical approaches. The post holder will be an integral member of the Gruszka Lab providing crucial support in image processing and quantitative data