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numerical analysis, with a keen eye for detail and accuracy when handling complex data, employing a data-driven decision-making approach. Excellent working knowledge of IT systems, such as Microsoft 365
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the LISS DTP and to facilitate links between SSPP and LISS DTP across the component Schools and Departments of the Faculty, as well as working effectively across the LISS DTP partner institutions
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will serve as the Principal Statistician and Methodological Lead in Digital Trials for the EMBRACE programme, providing strategic direction and scientific leadership across the design, analysis, and
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open-source software development practices Understanding of data analysis and processing pipelines Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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will serve as the Principal Statistician and Methodological Lead in Digital Trials for the EMBRACE programme, providing strategic direction and scientific leadership across the design, analysis, and
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. Desirable criteria Familiarity with open-source software development practices. Understanding of data analysis and processing pipelines. Downloading a copy of our Job Description Full details of the role and
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provision and psycho-social impacts on service experiences. The postholder will contribute to data collection, analysis, publications, and dissemination, and support training and supervision within the team
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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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growing Department at King’s College London (KCL) which has been created to enable and facilitate computational and data-intensive research across the university. A core component of e-Research is
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Department at King’s College London (KCL) which has been created to enable and facilitate computational and data-intensive research across the university. A core component of e-Research is supporting research