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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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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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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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Science and Services. You will be expected to enhance the department’s reputation through scholarship in clinical activities and teaching. You will achieve this by delivering professional services within
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Science and Services. You will be expected to enhance the department’s reputation through scholarship in clinical activities and teaching. You will achieve this by delivering professional services within
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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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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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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