126 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Birmingham in United Kingdom
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sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000
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sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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would need to be agreed by your current line manager. Information for applicants Academic Development Programme - new Assistant Professors will undertake a 5-year development programme, at the end
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innovative approaches to digital resources/environments and supporting colleagues to use them that are innovative to the subject area or institution; leading on curriculum design at module and programme level
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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for this post are expected to take place w/c 2nd February 2026 Academic Development Programme - new Assistant Professors will undertake a 5-year development programme, at the end of which they are expected to be
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work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full
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project – a randomised controlled trial of a digital parent support programme for parents of children with intellectual disabilities: The Digital Family Support study. The post is situated in
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ranging in: Computational geotechnical and structural engineering, including AI-supported modelling, data-driven soil–structure interaction, and the use of field and laboratory data for geo-infrastructure