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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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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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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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including a proposed MSt in Data Science and a potential apprenticeship programme. You will work closely with Dr Ali Al-Sherbaz, Academic Director for Digital Skills, to grow and sustain a dynamic portfolio
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Jesus College, Cambridge invites applications each year for a stipendiary Research Fellowship in a Science subject. The Fellowships will normally be tenable for three years from 1 October 2026
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The Entrepreneurship Programme Coordinator at the Milner Therapeutics Institute (MTI) is an exciting opportunity for an individual to play a key role in coordinating entrepreneurial programmes
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processing development and at least a BSc (Hons) degree in a numerate discipline (preferably Computer Science, Computer Engineering, or a science with a significant computing element). The candidate should
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exploring the limit of detection of transcutaneous and deep tissue imaging. The project is part of a major EPSRC-funded initiative, the Ubiquitous Optical Healthcare Technologies (UbOHTs) Programme Grant
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contributions from the Universities of Cambridge, Durham, Edinburgh, Hertfordshire, London (UCL), Manchester and the UKRI STFC Scientific Computing Division. The successful candidate will become part of a diverse
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and