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postholder will hold a PhD (or equivalent experience) in a relevant field, with strong knowledge of quantitative and qualitative research methods, including qualitative interviewing, data analysis using
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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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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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dynamic 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
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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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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About the Role The purpose of this role is to provide mixed methods and evidence synthesis research support for a Gates funded project examining the utility of iron preparations for maternal anaemia
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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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in methods of evidence synthesis with a focus on complex public health topics is essential. They should contribute to written outputs, preferably peer-reviewed, consistent with disciplinary
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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