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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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operations and supervision, supporting PhD and master’s students, and presenting findings across the alliance. The position is based at the Old Road Campus Research Building, Roosevelt Drive, Headington
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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different modalities of microscopy (widefield, confocal, spinning disc, TIRF, super resolution), Image Processing (e.g., Fiji / ImageJ) and data analysis. • Good communication skills (written and oral
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preparation, imaging modalities and settings, data processing, as well as image analysis and data presentation. You will lead in the development of bespoke analysis pipelines and train users in the independent
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exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
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reticulum, lysosomes, and peroxisomes in orchestrating these processes. You’ll have the opportunity to deploy a wide range of advanced techniques, including confocal microscopy, live-cell imaging
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biophysics relies on a basis of outstanding scientific programming. To this effect, in the Nynke Dekker lab we develop our own software to control experiments and perform state-of-the-art image processing and