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Field
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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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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experience Practical experience of pulmonary MR Track record of publications in MR imaging journals as a first author Ability to help supervise PhD students and researchers in technical aspects of MRI research
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physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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developmental biophysics, imaging, image analysis, and modelling of biological processes. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their
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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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group led by Prof Petra Hajkova investigates molecular processes that underlie global erasure of epigenetic information. As in vitro cellular reprogramming systems are notoriously inefficient and
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range from PhD studentships through to major strategic funding investments, currently totally more than £400M in active research investments. You’ll lead a team of highly qualified scientists to deliver