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an interdisciplinary team that is helping bring cloud computing to the world of genetics-based clinical microbiology we’d love to hear from you. Applications from candidates who do not fulfil the essential criteria will
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have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. We seek to recruit a Research Software
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, and redevelop our integration as we migrate services to the cloud. Candidates should have an understanding of modern development practices and ideally skills for developing within the Microsoft stack
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institutional-level risks and objectives. We oversee the development, delivery, and support of a number of University-wide technology and systems, including communications, storage, computing, and enterprise
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through cloud adoption, reduction of technical debt, and the implementation of a product operating model—still novel in higher education but increasingly vital to public sector innovation. Our approach
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through cloud adoption, reduction of technical debt, and the implementation of a product operating model—still novel in higher education but increasingly vital to public sector innovation. Our approach
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, Cloud and Virtual platforms. About you The ideal candidate for this role is experienced working in a scientific computing environment, has an enthusiasm for solving problems, is always seeking to learn
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through cloud adoption, reduction of technical debt, and the implementation of a product operating model—still novel in higher education but increasingly vital to public sector innovation. Our approach
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, with PL/SQL being used for the processing of the data. Experience of Java and PL/SQL is therefore also an important requirement of this role – with experience of working with both on-premises and cloud