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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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, early modern and modern world history. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis
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, translational research, and ultimately by influencing public policy and professional practice. We are seeking two Research Fellows in Epidemiology to work on the data analysis and paper writing of the Natsal
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analysis methods, powder processing, optics, signal processing, and related fields. Ideally, they would also have experience in imaging, image analysis, and microstructural analysis. Their expertise should
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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Salvador, Brazil. The post-holder will also contribute to the laboratory analysis, data cleaning and management, and data analysis and write-up a study to assess environmental exposures to enteric pathogen
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Assistant Professor) to support primarily two new UKRI projects with additional ad hoc statistical analysis and epidemiological interpretation for projects in the thriving laboratories of Professor Chris
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for this and other related grants held by the group, including coordinating meetings with coinvestigators and stakeholders, contributing to writing of publications and contributing to quantitative data analysis
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datasets. Some experience with observational data analysis and familiarity with risk prediction is required. A commitment to multi-disciplinary and collaborative working is essential. Experience using
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highly motivated individuals. The Research Fellow role is a key element of this project and will ensure that the project is delivered while providing fundamental research in the topic area. The successful