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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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Research and Innovation Services (R&IS) delivers a range of services which support academic and research staff to fulfil their research and enterprise objectives. In particular R&IS support the
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome
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implementation including ethics committee documentation and R&D submissions. Training in clinical trials methodology including Good Clinical Practice will be provided. The post will be at registrar level and will
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quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS; have the ability to plan and
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the laboratory of Professors E. S. Ward, FRS, and R. Ober who have relocated their research group from the United States to Southampton. Their interdisciplinary research program is dedicated to the development