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on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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PhD and MSc students working on related topics. This position offers an excellent opportunity to advance expertise in a rapidly evolving field, while also gaining experience in managing research
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will increase to Grade 6. Desirable criteria Experience in cellular cryo-electron tomography sample preparation, data collection and image processing Experience in focussed ion-beam milling (FIBSEM
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process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be
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supportive environment of the Centre for Craniofacial Regeneration and Biology at King’s College London, based at the Guy’s Hospital campus. About the role This position in the Green lab is to complete a BBSRC
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position within a Research Infrastructure? No Offer Description About Us Our guiding mission is to identify and investigate cellular and molecular mechanisms that cause and control inflammation and to relate