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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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signalling cascades. Collaborating with biophysicists and immunologists at the University of Oxford to integrate imaging data with computational models of receptor signaling and T-cell activation. Essential
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, chemists, computer scientists and biologists all working to develop imaging techniques within a supportive and diverse environment. Key Responsibilities This role will involve the operation of a new
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) at Northeastern University London (NUL) is looking for an exceptional candidate to fill an open Postdoctoral Research Associate position in Network Science, Graph Machine Learning, and Cognitive & Social Sciences