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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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of strong programming skills in R, Python, or other open-source programming language. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term for 3 years
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4
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contract ('E&R') and will receive career development opportunities to increase their knowledge of the research funding landscape across Arts and Humanities. Advertised to in part to provide teaching cover
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relevant analysis methodologies. Essential Application/Interview Experience of quantitative data analysis using appropriate software (e.g., R, Stata, Python). Essential Application Dissemination of research
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contract ('E&R') and will receive career development opportunities to increase their knowledge of the research funding landscape across Arts and Humanities. Advertised to in part to provide teaching cover
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data using advanced statistical software, i,e. R or Stata Apply knowledge in a