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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory
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of collegiality Desirable criteria Extensive experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation
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experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation Current Home Office Personal Licence
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using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights into human biology and may in the future lead to improved
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this date, in both directions). The position is funded by NERC grant 'High Resolution Radar Imaging of Pyroclastic Density Currents', in collaboration with University College London, and the University
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to understand the functional requirement for these pathways using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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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