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Field
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and for conducting data analysis. Superlative ability to articulate research objectives and hypotheses, and ability to work as part of a team. Excellent analytical ability and in-depth knowledge with
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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part
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estimates of disease costs are not well established, with a focus on disease surveillance and control. In the role, you will take responsibility for data analysis and statistical and mathematical modelling
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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analysing data through questionnaire surveys, interviews, focus groups or workshops, and in the use of quantitative and qualitative data analysis tools. Knowledge and training in the development
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this aim and to collectively, and individually, make a real difference. The role An exciting opportunity for a postdoctoral Research Fellow with a background in mathematical modelling / epidemiology has
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About the role: We are looking for an ambitious senior statistician with experience in clinical trials and an interest or experience in the design and analysis of adaptive trials. You will lead the
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are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals