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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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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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software packages. They also must have demonstrated knowledge of longitudinal data analysis methods, and an understanding of sample size calculations. Further particulars are included in the job description
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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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. 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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epidemiological or econometric methods, using R software package, and an understanding of techniques used in agent-based modelling. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December
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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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experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems
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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