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methods to economic and environmental problems; Knowledge of STATA, R, Python and/or other relevant programming skills for undertaking applied analysis (e.g. machine learning) and handling large
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communication journals Demonstrable proficiency in advanced quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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quote reference: 442-25-R Closing date: 25 May 2025 Interview date: To be confirmed
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adjacent to the Patrick J Johnston Centre for Cance r Research, the Wellcome Wolfson Institute for Experimental Medicine and the School of Pharmacy at QUB. The FMI will be funded by the Department of Economy
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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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with a research team. Applicants must have strong statistical modelling skills using R. You will have experience of a range of relevant statistical techniques, potentially including mixed effects models
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proven ability using statistical software for managing and analysing data using STATA/SAS/R. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and
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including in programming languages such as R and Python. Excellent publication record in peer-reviewed journals or conferences Experience of working in multidisciplinary projects including interaction with
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coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety