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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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. They will have skills in deep learning for wearable data analysis. Experience of studying health data science and/or machine learning for healthcare would be beneficial. This is a full time post (35
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operational effectiveness Desirable criteria Experience of data reporting and analysis Experience of creating, managing, and publishing digital content via content management systems. Downloading a copy of our
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to execution and data analysis, with a strong understanding of health data and personalised healthcare Evidence of writing peer-reviewed academic papers Demonstrable experience in medical or healthcare-related
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accordance with HTA, GDPR and KCL biosafety policies. Execution and preliminary analysis of standard molecular-biology and microscopy workflows, and the accurate logging of protocols in electronic lab
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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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governance Proven experience of translating business analysis, requirements definition and business case production into practical implementation Portfolio Management qualifications/experience Proven
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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