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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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contribute to the process of securing funds through bids and growing reputation. About You The post holder will provide overall: analysis of large-scale short-read whole genome sequencing datasets and long
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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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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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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