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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and
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of material for dating and statistical analyses, and imaging and laboratory analyses of core sediments. To participate in international project meetings and workshops. To understand and convey material of a
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and
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of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The position will focus on neuroimaging and neurocomputational studies of learning and brain plasticity. Our studies combine ultra-high field brain imaging
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cancer, using advanced imaging and data analysis. In this role, you will: Develop and apply AI tools to analyse eye images Work with hospitals across the UK to collect and study patient data Help create
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Research (OCMR, University of Oxford) and Oxford University Hospitals Department of Radiology (ORRU), focused on the development and delivery of funded clinical hyperpolarised imaging studies. You will
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make detailed measurements of glymphatic regulation using advanced imaging techniques. The successful candidate will have completed a PhD or a PhD near completion in cell biology, bioengineering
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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