128 parallel-and-distributed-computing-"LIST" positions at Manchester Metropolitan University
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research and knowledge exchange. The Department of Computing and Mathematics is a large and successful academic community of students and staff in the Faculty of Science and Engineering that is committed
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. Working closely with the Doctoral College Faculty Head and Deputy Head, you will: Coordinate, deliver, and evaluate the Postgraduate Researcher Development Programme and induction activities, ensuring
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vibrant and rapidly expanding technology sector. The University was recently awarded TEF Gold and was rated Outstanding by OFSTED. The Department of Computing and Mathematics is a successful academic
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vibrant and rapidly expanding technology sector. The University was recently awarded TEF Gold and was rated Outstanding by OFSTED. The Department of Computing and Mathematics is a successful academic
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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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comfortable working within a matrix management structure. You will have experience working strategically in a busy and fast-changing environment, managing several activities in parallel. You will have strong
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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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sector. The University was recently awarded TEF Gold and was rated Outstanding by OFSTED. The Department of Computing and Mathematics is a successful academic community of students and staff committed
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have experience in delivering and supporting Computing higher education activities at both undergraduate and postgraduate levels, in subject-specific and interdisciplinary contexts, or possess strong
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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