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, the emphasis of the post is on quantitative elements. The postholder should begin the post with at least intermediate statistical skills (e.g. conducting well thought out regressions). The postholder should also
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methods for biological, biophysical, or analytical applications. Ability to analyse and interpret complex experimental datasets using computational and statistical tools. Start Date: As Soon As Possible Why
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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Seed Fund grant and is fixed-term to 29 February 2028. The Secure Encryption Key Exchange (SEKE) project is aimed at developing an eavesdropper detection system based on noise statistics for optical
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You will have or be close to the completion of a relevant PhD/DPhil in the area of statistics and / or Health Economics, together with relevant experience. You will have experience of managing and
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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approaches to experimental design, data analysis, statistical testing, and data visualization. Establish, optimize, validate, and troubleshoot experimental protocols. Maintain complete and accurate
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the statistical theory behind the generation of turbulence and its effect on optical beams, develop software tools to simulate light propagation through the atmosphere, and create new and novel instrumentation
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Demonstrable ability to plan and manage independent research. Experience of using NVIVO or other qualitative analysis software. Knowledge and ability to conduct statistical analysis using R software