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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
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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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of econometrics in research Advanced knowledge of how to build research capacity in LMIC settings Evidence of application of statistical analysis and machine learning methods in R Knowledge of current trends
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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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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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experience working with complex datasets, missing information and data quality issues. Programming skills in R, Python or other open-source programming language are required. Further particulars are included
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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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to Work in the UK who are not eligible for Skilled Worker sponsorship or another Global Talent visa route, may wish to look into the Global Talent Peer Review r oute. This is a self-application process and
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, and how to use them. Evidence of driving innovative science, including publication in high quality scientific journals. Knowledge of programming tools/languages, such as R/Python. Solid understanding
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Advanced knowledge of how to build research capacity in LMIC settings Evidence of application of statistical analysis and machine learning methods in R Knowledge of current trends, research methods, and best