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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
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technology and change initiatives; business capability, value-chain and architectural modelling; and advocating and developing our business analysis and architectural practice. This is a fantastic opportunity
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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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expert where required. Confidently lead the presentation of the learning solution architecture including the design rationale, impact and narrative. Is a core member of Client programme teams, and owns
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers