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image/data-processing workflows. · Ability to deliver an independent research project and communicate results clearly. · A collaborative approach suited to multidisciplinary and consortium-based
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KNEE). For the ENGIN Knee project, we are combining state of the art methods, ranging from advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3
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within their academic unit and in the research and teaching area of magnetic resonance imaging (MRI). The role holder will be expected to contribute to teaching and curriculum development for undergraduate
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interactions in organoid models and primary tissues, undertaking research to develop light sheet microscopy approaches for imaging live and fixed tissues at high resolution and further develop tissue clearing
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planetary scientists have a strong record of using MESSENGER images for investigating geological processes on Mercury, have been instrumental in making new geological maps of Mercury in preparation
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Rosalind Franklin Institute The Multidimensional Imaging (MDI) Challenge team, led by Professor Angus Kirkland, leads pioneering research in advancing electron ptychography, liquid phase electron
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artefacts to be used in simulations and/or inform the generation of digital twin models for manufacturing processes. Key Requirements The candidate needs to have experience in: Image processing and/or
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–computer interfaces and neuroengineering; Health big data analytics; advanced intelligent diagnostics/therapeutics. Core Facility Experimental animal facility (rat/mice - SPF), Animal Behavior Analysis
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Rosalind Franklin Institute The Multidimensional Imaging (MDI) Challenge team, led by Professor Angus Kirkland, leads pioneering research in advancing electron ptychography, liquid phase electron
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portfolio of pre- and post-registration academic provision and research in allied health and related disciplines, and substantial CQC-registered clinical and imaging services delivering high quality care for