75 computer-security-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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Sport Liverpool delivers the non-academic sporting offer across the University. We are responsible for sports facilities, the sports scholarship programme, Athletic Union sports clubs, sport and
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the QUASAR Group and the pan-European EuPRAXIA program, the Fellow will lead cutting-edge research in plasma accelerators while shaping and delivering advanced interdisciplinary training for doctoral
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, to ensure that projects and works are delivered to the agreed programme, budget and quality, working to recognised standards. The role will report to the Head of Design Group. This is an exciting role
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. For additional information please email leo.clarke@liverpool.ac.uk. Key responsibilities and duties: ¿ Working collaboratively with Welsh fishers to plan and deliver a program of field and vessel-based data
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-We are seeking experienced and forward¿thinking finance professionals to support a major phase of our Finance Transformation Programme as we implement Unit4 ERPx across the University of Liverpool
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and, in particular, the study of the geometry and topology of wandering domains, Hausdorff dimension and computational complexity of Julia sets, and the dynamics of holomorphic self-maps
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques
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with our industrial and UK university partners, a novel research programme will be implemented based on modelling, control and optimisation of an integrated power and transportation networks. Key
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Spanning 100 acres, the University's city campus sits within Liverpool's Knowledge Quarter and comprises teaching spaces, student residences, administrative buildings, and research facilities, set alongside a mix of hard and soft landscaped areas. The University of Liverpool is seeking a skilled...
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials