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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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equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams, in medical statistics and in the analysis of large healthcare datasets (such as CPRD
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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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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information on both roles. About You Candidates must have an Undergraduate Degree in health data science or similar field. Applicants at the PDRA level must have a PhD (or close to completion) or research
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Research Council (now UKRI Frontier) grant “Age-Enabled Exoplanet Science”. The successful candidate will work on determining the timescales and relative roles of key evolutionary processes in sculpting
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experiments, devise strategies for further development/advancement of project. Be involved in compiling data, writing manuscripts grant applications, contribute to overall scientific endeavor of the research
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) semiconductors and devices. The primary aim is to develop next-generation ultra-low-energy consumption semiconductor devices to significantly reduce the power consumption of data centres and computers. Key
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and stroke in Sierra Leone (SL). We will support the Ministry of Health SL by collecting the data necessary to design evidence-based interventions. The role will be responsible for supporting MRC SLASH
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postgraduate programmes. The role is mainly student facing and is ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive