17 computer-programmer-"https:"-"https:"-"UNIS" positions at Manchester Metropolitan University
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support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a
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Solutions programme in collaboration with a wide range of companies including multinationals and SMEs. Role You will be a passionate educator who fully understands the pedagogic approaches needed to deliver
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Are you a passionate Full Stack Developer with a strong cognizance of PHP, Laravel, and VueJS? We're looking for someone who thrives in agile environments, enjoys solving complex problems, and
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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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ambitious growth plans and a strong reputation for innovative teaching, particularly in Degree Apprenticeships, where we deliver the award-winning Digital and Technology Solutions programme in partnership
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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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to enhance patient engagement and programme design Funding Only Home students can apply. Tuition fees will be covered for the duration of the three-year award, which is £5,006 for the year 2025/26. The student
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in the course of the disease would result in better outcomes for the patient. We are looking for candidates to research computer vision and artificial intelligence techniques to create an objective
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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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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods