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ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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work. The School of Biological, Earth and Environmental Sciences is a large, collaborative and multi-disciplinary school in the Faculty of Science at the University of New South Wales with over 170
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: Experience and knowledge of advanced statistics and econometrics is desired Excellent written and verbal communication skills is desired Experience in using large and complex data is desired Experience in
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analysis including econometrics, statistics and machine learning and related disciplines handling large amounts of complex data. They should provide evidence of potential for research and publication
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data, field or lab experiments, text analytics, use of AI for big data). Output orientation: Demonstrated capacity to publish in top-tier scientific journals. Ideal (but not required) is experience with