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Manchester Metropolitan University is focused on leverage the most from its data as we embrace, modernise and also to make the most of data from our existing systems as well as emerging platforms
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partners in co-designing and evaluating AI-enabled systems and contribute to research in Human-Computer Interaction (HCI) and Assistive Technology. This is an excellent opportunity for a motivated researcher
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Computer Science, Data Science, Computer/Information Management, Management Information Systems (MIS), Business Information Systems or a related subject. Skills: Strong understanding of data protection, security
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relating to AI and large language models, is desirable Application requirements: The following are essential requirements: Breadth of technical knowledge in relation to the use of technology and data
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collaborations with the NHS, government bodies, and industry—particularly within the region's flourishing digital sector. Our core research strengths include Artificial Intelligence and Data Science, Machine
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Manchester Metropolitan University is launching an ambitious new Centre for Digital Data Research (CDDR) to harness the power of digital data in driving world-class, socially responsible research
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Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling The University is
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About the Team The Estates Engineering team sits within the Estates, Facilities & Campus Development Directorate and plays a critical role in keeping the University's estate safe, compliant and
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delivery, leading information literacy and digital fluency teaching, and developing innovative, digitally-enhanced services aligned with emerging pedagogies. Open research where you will lead the strategic
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technologies. The School of Digital Arts is a proud part of Manchester Metropolitan University. We build on the creative, science, tech and business strengths of a university whose research is rated as ‘world