125 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at Manchester Metropolitan University
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partners in our city. Our performance programme supports and nurtures emerging talent. We support over 70 teams across more than 50 sports at our world-class facilities. The performance programme looks
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Solutions programme in collaboration with a wide range of company partners. The department now seeks experienced individuals who have a track record of implementing innovative teaching practices that have had
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programme and align with the School's strategic research themes across architecture, landscape, and the built environment. You will also have the opportunity to join one of the Faculty's research groups
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programme Create engaging content that communicates the impact of giving Support events and initiatives that celebrate and recognise our supporters Work closely with the philanthropy team to grow donor
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postgraduate programmes in Biomedical Science, Clinical Sciences and Human Physiology. The Department also delivers a Level 8 DClinSci programme which will be a key area in which the successful candidate will
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and Social Care. You will contribute to teaching across a number of modules, including the Mary Seacole programme, for which we are accredited by the NHS Leadership Academy. The department has a strong
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significant impact on student experience and the employment prospects of our graduates. You will help us to identify what works, keep abreast of related sector wide developments and contribute to our programme
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psychology and behavioural science. This includes contributing to future research programme design, supporting the preparation of competitive funding bids, delivering consultancy projects, and producing high
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Solutions programme in collaboration with a wide range of company partners. The department now seeks experienced individuals who have a track record of implementing innovative teaching practices that have had
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, socially responsible research. This cross-disciplinary centre will combine academic and technical expertise with advanced computing capabilities to enable research at scale – from the processing of large