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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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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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About the role We are seeking a highly motivated, a postdoctoral researcher in computational biology. We investigate how immune cells interact with their environment in the human gastrointestinal
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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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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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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of human musculoskeletal tissues and undertake computational analysis of multi-omic datasets of human musculoskeletal tissues. You will be adapting existing and developing new experimental protocols
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cilia function. This exiting project will combine our recently developed centrosome purification method with advanced proteomics and high-resolution imaging to deepen our understanding of these processes