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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and is an internationally
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-edge field research in Africa with advanced laboratory and translational science in the UK. The successful candidate will hold a PhD with an internationally recognised track record in virology, viral
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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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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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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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of £42,500 - £47,500 per annum, depending on experience, inclusive of London Allowance. About You You will have a strong background in medical or life sciences with a PhD or business qualification or
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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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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