125 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at University of London in United Kingdom
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Music Centre and St Paul’s Cathedral. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve
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fixed-term post for a period of 24 months offering a chance to develop and support enterprise-level solutions, working with a mixture of hybrid and cloud-based technologies. To be considered for this role
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fixed-term post running until then end of July 2027, offering a chance to develop and support enterprise-level solutions, working with a mixture of hybrid and cloud-based technologies. To be considered
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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Programme. The role ensures that approved demand is shaped, planned, delivered, and embedded effectively, acting as the primary interface between business stakeholders and AAA delivery teams. In
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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the clinical lecturer will refine their research focus and build their own research programme. Clinical and non-clinical academics at LSHTM have research programs in a wide range of primary care and global
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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About the Role In partnership with North East London Integrated Care Board, QMUL has launched a brand new training programme, recruiting GP Fellows to work a portfolio role, both in practice and in
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational