129 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Manchester Metropolitan University
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programme. About the Role & Team We are looking to appoint an enthusiastic and dedicated individual who is committed to providing an excellent learning experience for our students in the Department of Life
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of the largest in the UK, bringing together expertise across biological sciences, sports sciences, chemistry, computing, engineering, mathematics, geography, and environmental sciences. The Faculty plays a central
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care Experience working effectively within a team Ability to work independently and use initiative GCSE-level education or equivalent Competence in maintaining accurate records and using computer systems
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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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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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research experience in the field of computational mechanics, thermal and chemical processes in a combustion system. Possess sufficient breadth and/or depth of knowledge in combustion, fluid dynamics and
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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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. 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
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Degree Apprenticeships where we deliver the award winning Digital and Technology Solutions programme in collaboration with a wide range of companies. We are a founding member of the National Institute
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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