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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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We are looking for an enthusiastic person to join our team and work on an exciting new research project that will use magnetic resonance imaging (MRI) methods to study the journey of capsule
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Outcome Network (ICON) on an NIHR-funded Better Methods, Better Research (BMBR) project developing the Multiple imputation framework for missing data. This collaboration with University of Warwick, aims
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interventions. We will enable collaboration between communities, academia, health and care, to drive meaningful change in health equality and social connection. In the process, we will impact research and policy
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apply them to cutting-edge single-cell datasets generated within the lab and from public resources. There is significant scope to shape the project around your interests, including live-cell imaging, flow
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blood flow and oxygenation. This will require surgical induction of chronic hypoxia in mice, and electrophysiological and imaging techniques and analysis. You will be expected to design and perform your
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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development of suitable demineralisation protocols including artificial lesion production and high-resolution imaging. This post will focus specifically on developing reliable laboratory models for studying
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learning, image/audio processing
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intestinal epithelium), imaging, and high-throughput screens. The successful candidate will have a postgraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in molecular