37 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" positions at CRANFIELD UNIVERSITY
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
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8 Jan 2026 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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. About the Role The purpose of this role is to drive the University’s technology transfer activities, turning Cranfield University’s Intellectual Property (IP) into impactful innovations that create
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Off Campus Hours of work: 40 hours per week, normally worked Monday to Friday
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world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here
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research on the science, engineering and management of water, and we have been driving innovation for over 40 years. You will contribute a major UKRI-funded programme, tackling one of the most urgent global
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the effective use of technology and analytics within the People & Culture function. You will also play a key role in delivering tangible continuous improvement initiatives, including the enhancement of existing
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AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas: Artificial intelligence – both technical understanding and user application aspects Machine Learning