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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
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processes. Carbonate biomineralisation is a key process in global carbon cycling, but there are major gaps in our understanding of how biominerals form. We lack a quantitative understanding that can predict
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the United Kingdom. The teaching and research recognises, that the disciplines of Politics, Philosophy, and Economics are inextricably linked: it is not possible to properly understand political processes without
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already) and apply online. Informal inquiries can be made by contacting Dr Joni Teräväinen at jt945@cam.ac.uk . For queries relating to the application process, please email LF45669@maths.cam.ac.uk . Please
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opportunity to join a leading vibrant and supportive research team with a mission to advance new knowledge and insights into the psychological, social, individual, educational and community-based processes
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contact Davide Costanzo, Professor of Particle Physics: on d.costanzo@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place before 31th March
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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the design and manufacturing of electrodes as well as electrochemical testing of their performance. This project focusses on processes that are compatible with roll-to-roll coating to ensure industrial