37 computer-"https:"-"https:"-"https:"-"https:"-"Karlsruhe-Institute-of-Technology" positions at Manchester Metropolitan University
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learning and professional experience across the University. As part of the End User Compute (EUC) team, you will contribute to the engineering, management, security, and compliance of our multi‑platform
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. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students. The department has
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Programme Cycle to Work scheme Various other rewards and benefits. How To Apply: Your application must include a supporting statement which provides examples of how your experience and skills match each
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technology sector—we recently achieved TEF Gold and an OFSTED Outstanding rating. The Department of Computing and Mathematics is a thriving academic community of over 80 staff and 2,500 students. We have
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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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join the team and play a key role in the delivery of our exciting portfolio of strategic projects. You will act as the first point of contact for your project, working closely with the Programme or
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at Manchester Met. In this role, you will: Manage your own portfolio of schools and colleges, building strong relationships with teachers and advisers. Plan, organise, and deliver an annual programme of
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perks, including discounted gym membership, travel benefits such as our cycle to work scheme, local and national discounts and our employee assistance programme To apply: Please provide your CV detailing
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vibrant and rapidly expanding technology sector. About our Department: The Department of Computing and Mathematics is a successful academic community of students and staff committed to achieving high
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities