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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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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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experience of the laboratory delivery of multiplex imaging datasets of tissue samples as well as significant laboratory experience of general methods including immunoassays and cell culture. You will have
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techniques, multispectral flow cytometry, and bioinformatic analysis of transcriptomic (RNAseq) datasets. Experience with image analysis, particularly for immunofluorescence, is desirable. You should be
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the Medical Research Council and Medical and Life Sciences Translational Fund. It offers an exciting opportunity to work in a vibrant multi-disciplinary team that crosses the domains of clinical imaging and
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participation, working with PPI, to choose a creative ‘menu’ of participation modes, e.g., a digital pinboard for images and memes and recruit parents, children, and clinicians to participate in qualitative
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led by Prof Jill O’Reilly and Prof Helen Barron, with responsibility for carrying out research on the role of rest in cognitive map formation, and the neural mechanisms underlying that process. The post
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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
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, machine learning, or analytics, expertise in immunohistochemistry and digital imaging techniques, and a current Home Office Animal Licence. This is a fixed-term, full-time position offering the opportunity
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other commonly signals recorded in hospitals. Prior experience in computer vision, biomedical imaging and the analysis of data recorded by wearable devices, body-worn sensors or other flexible wearable