35 computer-science-intern "https:" "https:" "https:" "https:" "University of Cambridge" positions at CRANFIELD UNIVERSITY
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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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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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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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technology and management globally. Learn more about Cranfield and our unique impact here . Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do
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an advantage About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management
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industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . Our Values and Commitments Our shared, stated values help to define
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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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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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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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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