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in Computer Science on Integrated Foundation Year (IFY) Programmes at Royal Holloway, University of London. This is a 0.6 FTE ongoing position. The well-established and successful IFY at Royal Holloway
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Gareth Ackland, Dr John Prowle, Professor Zudin Puthucheary, Dr Tom Abbott, Clinical Lecturers, Research Fellows and PhD students. This post underpins the further development of a world leading research
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. The group includes Professor Gareth Ackland, Dr John Prowle, Dr Zudin Puthucheary, Clinical Lecturers, Research Fellows and PhD students. This post underpins the further development of a world leading
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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regional leadership in the area. They will support the Unit’s high- performance computing facility–Uganda Medical Informatics Centre(UMIC) project. The post-holder will develop and implement bioinformatics
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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of Architectural Editor of the Victoria County History of England (VCH), supporting the VCH community with training, editorial guidance and subject-specific work in this area. They will manage ongoing projects
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About the Role As a Lecturer on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life of the faculty
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will