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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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environmental urban research. Experience in image analysis and natural language processing and in the use of geospatial software packages would be beneficial. The post provides an outstanding opportunity
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-physiological approaches to marmosets. The common marmoset is a small non-human primate highly suited for advanced circuit interrogation techniques including high-density electrophysiology, optical imaging and
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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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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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: Essential criteria PhD qualified in relevant subject area (Immunology, Biophysics, Biochemistry, etc) * Expertise in biomechanics, both the theory and methods Expertise in T cell biology, immunology, cancer
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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Cranfield University invites applications for a PhD funded by Thames Water through the Ofwat Innovation Fund. The studentship covers full Home tuition fees plus a tax free stipend of £24,000 per
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identify new drug targets. The project will involve advanced histological, biochemical and molecular approaches. You will be responsible for collection, processing, analysis, presentation (writing, graph