283 web-programmer-developer-university-of-liverpool positions at University of Manchester
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support and solutions for our Evolve program, working with our network architect and network partner to assure the delivery and ongoing development of our network services including the Aruba SD-LAN and
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, or any other characteristic. All appointments are made on merit. Build the Future of AI at the University That Invented Modern Computing: Manchester changed the world in 1948 with the first stored program
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Background Partnering with the University of Bath, the European Synchrotron Radiation Facility (ESRF), France, and led by the University of Malaga (UMA), we have formed a consortium, X-SeeO2, that
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the advent of the computer resolution started in 1948, when the machine affectionately known as “the Baby” ran its first stored program in the very building we work in. The University has committed to becoming
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, Warwick University and University College London. The research programme aims to address the sustainability of engineering plastics across the transport, electronics and construction sectors by exploring
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the groundwork for developing a digital twin (DT) for Greater Manchester’s Integrated Water Management Plan (GM-IWMP). The successful applicant will map and prioritise key water processes in GM, address data
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Background A Research Associate position is available for an outstanding and ambitious materials scientist to undertake research in the project: developing accelerating DC DYNAMIC cable technology
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The University seeks to appoint an Undergraduate Admissions Administrator within the School of Environment, Education and Development. The post holder will provide prompt, efficient and flexible
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. Alexander Lanzon, Chair in Control Engineering at the University of Manchester and Head of Department of Electrical and Electronic Engineering. This PDRA post will deliver the objectives of a research grant
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm