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, electrical engineering or a related subject. Funding Notes Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive
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of Medicine and Population Health at the University of Sheffield. We form part of a critical mass of innate immunity researchers combining genetic and imaging-based approaches making use of superb facilities
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
prototype system to obtain experimental 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
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Contract Type: Fixed Term from 12 August 2024 for 12 months Location: The Wave 2 Whitham Road Sheffield S10 2AH The role will involve research in human computer interaction and data visualisation
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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the start of the PhD. How to Apply To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Zhixiang
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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been shown to be important in analysing ‘big data’ from whole slide images (WSI) to facilitate automated detection of different types of cells as well as their digital footprint. The CAMELYON2016/2017
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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle