116 computer-science-programming-languages-"St"-"ST"-"University-of-St" positions at Manchester Metropolitan University
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Digital and Technology Solutions Specialist apprenticeship programme. Independent assessors need to be independent of the training delivery and will not have been involved with the apprentice's employment
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implementation of our Quality Improvement Plan, and promote engagement with the University's Quality Cycle. You'll work closely with Academic Programme Leaders, Programme Managers, and Skills Coaches to strengthen
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knowledge of theory and practice regarding programming, electrical and electronic engineering, Explore publishing the findings from your research in peer reviewed journals. Development of a closed source in
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intranet pages, the Annual Conference programme and website, and a broad range of digital resources for pedagogy and educator development. To succeed at this role, you will possess the ability to: work with
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discounted gym membership, travel benefits such as our cycle to work scheme, local and national discounts and our employee assistance programme About the role: In addition to providing confidential, efficient
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continues to be reflected in consistently high satisfaction ratings from both employers and apprentices. Over the past decade, our programme has grown significantly. We now work with over 700 employers—from
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innovative in teaching, and we are recognised as the sector leader in Degree Apprenticeships, where we deliver the award-winning Digital and Technology Solutions programme in collaboration with a wide range of
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new interdisciplinary research programme. Working closely with Professor Peter Coventry, Professor of Health, Environment and Society, you'll be part of a dynamic and ambitious team focused on public
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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. This cross-disciplinary centre will combine academic and technical expertise with advanced computing capabilities to enable research at scale – from the processing of large, complex data sets to the training