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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate
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experience in addition to excellent organisation and communication skills, a flexible and adaptable approach to work, and above all a commitment to delivering an outstanding service for all programme
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University of Cambridge About us Contact us Job Opportunities Jobs Applying for a job My applications Right to work What we can offer Living in Cambridge Temporary work Work experience Volunteering Page not found This page cannot be displayed. If you are returning to a previously accessed job...
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The University of Cambridge's Information Services is seeking an experienced Senior Software Developer. You will join a multidisciplinary development team within a Division of 30 engineers building
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Applications are invited for a Programme Lead for the Engineered Pandemics Risk Management Programme in the Centre for Pandemic Risk Management, at the level of either Principal Research Associate
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The Sustainable Innovation Lab (SIL) at the Centre for Human-Inspired Artificial Intelligence (CHIA) is seeking a part time (0.8 FTE) full-stack software engineer assistant experienced with both
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University Information Services (UIS) wishes to appoint a Technical Developer to join the multidisciplinary, and diverse, Teaching, Learning and Assessment (TLA) Systems team, supporting
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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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/physics-based computing at the Department of Applied Mathematics and Theoretical Physics. The successful appointees would be expected to start any time before October 2025 for two years. One position will