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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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as an autonomous, registered practitioner who is legally and professionally accountable for own unsupervised actions, as guided by the professional code of conduct, guidelines and protocols. To make
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
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, registered practitioner who is legally and professionally accountable for own unsupervised actions, as guided by the professional code of conduct, guidelines and protocols. To make and maintain accurate
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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AI technologies for equitable healthcare, with a particular focus on AI-enabled oculomics - the use of retinal imaging and artificial intelligence to detect hidden indicators of systemic health
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postdoctoral research associate to join our multidisciplinary team led by Dr. Rossiter, including clinicians, bacteriologists, structural biologists and advanced microscopy and imaging specialists. The project
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coding lists etc. Responsibility for accurately entering data into a variety of research and administrative databases, including non-routine or ad-hoc data (i.e. that requires more interpretation or
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these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation