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atmospheric science or a closely related discipline • experience in developing and applying atmospheric models • strong skills in programming and data analysis using R, Python or similar languages
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candidates who have: a PhD in statistics or a closely related field experience of latent variable modelling, categorical data analysis, streaming data, log-file data analysis, change-point detection
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relevant experience in experimental design, ecological surveys, leading and managing fieldwork expeditions, data management, statistical analysis, writing publications and engaging with diverse project
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for the development and day-to-day management of the Project, from coordinating the design and set up of studies through to analysis, dissemination and impact activities. As such, the successful candidate will be