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. Johnson Matthey, a FTSE 250 organisation, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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continuous water quality measurement in rivers. This is in response to the national need to monitor wastewater overflow spills. The technology has the potential to be deployed to 1000’s of UK river locations
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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-resolution imaging and reconstruction of neural tissues (see https://ist.ac.at/en/research/siegert-group/). Leveraging computational tools such as machine learning and topological data analysis, we will
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
data, combine the data with process modelling and scale up towards a commercial design. A second application is the removal of carbon dioxide from the air, a core technology of a $3.5 billion US
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regulating signal processing in the developing and ageing mouse cochlea in vivo, and how these influence central auditory neuronal pathways. This role will also provide an opportunity to work as part of a
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Digital Humanities Institute (DHI) Established in 1994, the DHI’s mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of
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Overview We are seeking an independent and motivated postdoctoral Research Associate to work on a Cancer Research UK (CRUK)-funded project at the interface of stem cell biology and disease modelling