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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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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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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
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immunofluorescence imaging. The successful candidate will support the design, optimisation, and analysis of multiplex panels to characterise the spatial distribution of immune and other cells within tumour tissues
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systems paradigm within the area of AI has been widely researched since the early 1990s, but has come to prominence recently with the emergence of Large Language Models (LLMs). The possibility of using